Binary files /tmp/tmpdq_ynmg1/3SZ9C1eVsD/r-cran-statmod-1.4.35/build/partial.rdb and /tmp/tmpdq_ynmg1/nRIwSpqdd0/r-cran-statmod-1.4.36/build/partial.rdb differ diff -Nru r-cran-statmod-1.4.35/debian/changelog r-cran-statmod-1.4.36/debian/changelog --- r-cran-statmod-1.4.35/debian/changelog 2020-10-22 10:32:23.000000000 +0000 +++ r-cran-statmod-1.4.36/debian/changelog 2021-08-22 22:09:07.000000000 +0000 @@ -1,3 +1,10 @@ +r-cran-statmod (1.4.36-1) unstable; urgency=medium + + * New upstream version 1.4.36 + * Bump S-V to 4.6.0 + + -- Sébastien Villemot Mon, 23 Aug 2021 00:09:07 +0200 + r-cran-statmod (1.4.35-1) unstable; urgency=medium * New upstream version 1.4.35 diff -Nru r-cran-statmod-1.4.35/debian/control r-cran-statmod-1.4.36/debian/control --- r-cran-statmod-1.4.35/debian/control 2020-10-22 10:32:10.000000000 +0000 +++ r-cran-statmod-1.4.36/debian/control 2021-08-22 22:08:47.000000000 +0000 @@ -7,7 +7,7 @@ Build-Depends: debhelper-compat (= 13), dh-r, r-base-dev -Standards-Version: 4.5.0 +Standards-Version: 4.6.0 Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-statmod Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-statmod.git Homepage: https://cran.r-project.org/package=statmod diff -Nru r-cran-statmod-1.4.35/DESCRIPTION r-cran-statmod-1.4.36/DESCRIPTION --- r-cran-statmod-1.4.35/DESCRIPTION 2020-10-19 17:30:02.000000000 +0000 +++ r-cran-statmod-1.4.36/DESCRIPTION 2021-05-10 11:20:05.000000000 +0000 @@ -1,6 +1,6 @@ Package: statmod -Version: 1.4.35 -Date: 2020-10-18 +Version: 1.4.36 +Date: 2021-05-10 Title: Statistical Modeling Author: Gordon Smyth [cre, aut], Yifang Hu [ctb], Peter Dunn [ctb], Belinda Phipson [ctb], Yunshun Chen [ctb] Maintainer: Gordon Smyth @@ -10,6 +10,6 @@ Description: A collection of algorithms and functions to aid statistical modeling. Includes limiting dilution analysis (aka ELDA), growth curve comparisons, mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. Also includes advanced generalized linear model functions including Tweedie and Digamma distributional families and a secure convergence algorithm. License: GPL-2 | GPL-3 NeedsCompilation: yes -Packaged: 2020-10-18 04:12:43 UTC; smyth +Packaged: 2021-05-10 10:41:09 UTC; smyth Repository: CRAN -Date/Publication: 2020-10-19 17:30:02 UTC +Date/Publication: 2021-05-10 11:20:05 UTC diff -Nru r-cran-statmod-1.4.35/man/elda.Rd r-cran-statmod-1.4.36/man/elda.Rd --- r-cran-statmod-1.4.35/man/elda.Rd 2020-10-18 03:17:08.000000000 +0000 +++ r-cran-statmod-1.4.36/man/elda.Rd 2021-05-10 07:55:10.000000000 +0000 @@ -92,7 +92,7 @@ Hu, Y, and Smyth, GK (2009). ELDA: Extreme limiting dilution analysis for comparing depleted and enriched populations in stem cell and other assays. \emph{Journal of Immunological Methods} 347, 70-78. -\url{http://dx.doi.org/10.1016/j.jim.2009.06.008} +\doi{10.1016/j.jim.2009.06.008} \url{http://www.statsci.org/smyth/pubs/ELDAPreprint.pdf} Shackleton, M., Vaillant, F., Simpson, K. J., Stingl, J., Smyth, G. K., Asselin-Labat, M.-L., Wu, L., Lindeman, G. J., and Visvader, J. E. (2006). diff -Nru r-cran-statmod-1.4.35/man/gauss.quad.prob.Rd r-cran-statmod-1.4.36/man/gauss.quad.prob.Rd --- r-cran-statmod-1.4.35/man/gauss.quad.prob.Rd 2020-10-18 02:53:10.000000000 +0000 +++ r-cran-statmod-1.4.36/man/gauss.quad.prob.Rd 2021-04-05 08:13:19.000000000 +0000 @@ -4,7 +4,10 @@ \description{Calculate nodes and weights for Gaussian quadrature in terms of probability distributions.} -\usage{gauss.quad.prob(n,dist="uniform",l=0,u=1,mu=0,sigma=1,alpha=1,beta=1)} +\usage{ +gauss.quad.prob(n, dist = "uniform", l = 0, u = 1, + mu = 0, sigma = 1, alpha = 1, beta = 1) +} \arguments{ \item{n}{number of nodes and weights} diff -Nru r-cran-statmod-1.4.35/man/gauss.quad.Rd r-cran-statmod-1.4.36/man/gauss.quad.Rd --- r-cran-statmod-1.4.35/man/gauss.quad.Rd 2020-10-18 02:53:27.000000000 +0000 +++ r-cran-statmod-1.4.36/man/gauss.quad.Rd 2021-04-05 07:59:41.000000000 +0000 @@ -4,7 +4,9 @@ \description{Calculate nodes and weights for Gaussian quadrature.} -\usage{gauss.quad(n,kind="legendre",alpha=0,beta=0)} +\usage{ +gauss.quad(n, kind = "legendre", alpha = 0, beta = 0) +} \arguments{ \item{n}{number of nodes and weights} diff -Nru r-cran-statmod-1.4.35/man/glmgam.Rd r-cran-statmod-1.4.36/man/glmgam.Rd --- r-cran-statmod-1.4.35/man/glmgam.Rd 2019-05-29 07:47:31.000000000 +0000 +++ r-cran-statmod-1.4.36/man/glmgam.Rd 2021-05-10 09:46:10.000000000 +0000 @@ -36,7 +36,7 @@ \references{ Dunn, PK, and Smyth, GK (2018). \emph{Generalized linear models with examples in R}. Springer, New York, NY. -\url{https://doi.org/10.1007/978-1-4419-0118-7} +\doi{10.1007/978-1-4419-0118-7} } \seealso{ diff -Nru r-cran-statmod-1.4.35/man/glmnbfit.Rd r-cran-statmod-1.4.36/man/glmnbfit.Rd --- r-cran-statmod-1.4.35/man/glmnbfit.Rd 2019-05-29 08:04:41.000000000 +0000 +++ r-cran-statmod-1.4.36/man/glmnbfit.Rd 2021-05-10 09:46:34.000000000 +0000 @@ -43,7 +43,7 @@ \references{ Dunn, PK, and Smyth, GK (2018). \emph{Generalized linear models with examples in R}. Springer, New York, NY. -\url{https://doi.org/10.1007/978-1-4419-0118-7} +\doi{10.1007/978-1-4419-0118-7} } \seealso{ diff -Nru r-cran-statmod-1.4.35/man/glmscoretest.Rd r-cran-statmod-1.4.36/man/glmscoretest.Rd --- r-cran-statmod-1.4.35/man/glmscoretest.Rd 2019-05-29 07:33:50.000000000 +0000 +++ r-cran-statmod-1.4.36/man/glmscoretest.Rd 2021-05-10 09:47:00.000000000 +0000 @@ -57,7 +57,7 @@ \references{ Dunn, PK, and Smyth, GK (2018). \emph{Generalized linear models with examples in R}. Springer, New York, NY. -\url{https://doi.org/10.1007/978-1-4419-0118-7} +\doi{10.1007/978-1-4419-0118-7} Lovison, G (2005). On Rao score and Pearson X^2 statistics in generalized linear models. \emph{Statistical Papers}, 46, 555-574. diff -Nru r-cran-statmod-1.4.35/man/qresiduals.Rd r-cran-statmod-1.4.36/man/qresiduals.Rd --- r-cran-statmod-1.4.35/man/qresiduals.Rd 2019-05-29 07:33:25.000000000 +0000 +++ r-cran-statmod-1.4.36/man/qresiduals.Rd 2021-05-10 09:47:44.000000000 +0000 @@ -59,7 +59,7 @@ Dunn, PK, and Smyth, GK (2018). \emph{Generalized linear models with examples in R}. Springer, New York, NY. -\url{https://doi.org/10.1007/978-1-4419-0118-7} +\doi{10.1007/978-1-4419-0118-7} } \author{Gordon Smyth} diff -Nru r-cran-statmod-1.4.35/man/tweedie.Rd r-cran-statmod-1.4.36/man/tweedie.Rd --- r-cran-statmod-1.4.35/man/tweedie.Rd 2019-06-02 07:58:21.000000000 +0000 +++ r-cran-statmod-1.4.36/man/tweedie.Rd 2021-05-10 09:48:17.000000000 +0000 @@ -76,7 +76,7 @@ \references{ Dunn, P. K., and Smyth, G. K, (2018). \emph{Generalized linear models with examples in R}. Springer, New York, NY. -\url{https://doi.org/10.1007/978-1-4419-0118-7} +\doi{10.1007/978-1-4419-0118-7} (Chapter 12 gives an overall discussion of Tweedie GLMs with R code and case studies.) Hasan, M.M. and Dunn, P.K. (2012). diff -Nru r-cran-statmod-1.4.35/MD5 r-cran-statmod-1.4.36/MD5 --- r-cran-statmod-1.4.35/MD5 2020-10-19 17:30:02.000000000 +0000 +++ r-cran-statmod-1.4.36/MD5 2021-05-10 11:20:05.000000000 +0000 @@ -1,4 +1,4 @@ -80d08313cf9d03be4f592fa11c6f70ff *DESCRIPTION +297887612cc75a257e664780e3b8770d *DESCRIPTION f9339c225b76e77744e0ff59cf229454 *NAMESPACE cabcedc80916e132755147508dc1808b *R/digamma.R b67d4c729d215c0952dc4594882da6fa *R/digammaf.R @@ -22,18 +22,19 @@ 4843a9f5f3be5605ac7a96d5772bab26 *R/remlscorgamma.R a3185c8c817e40182c9c31a41970df90 *R/sagetest.R 0922dac3e20ee58bd8782d15c57af3fb *R/tweedie.R +fec83bb83ce0be2bce216ae48132f050 *build/partial.rdb e600a474fedf570b1913b278022d46bf *data/welding.rdata 12b53c3de6776dbc33ac3a0e098f033a *inst/CITATION 4155f8b36cc76607aaaab0c39ccf5f26 *inst/NEWS d37cd00f740faf6738e9a0c992f54eda *man/digammaf.Rd -f177274bba0731fc6e0269683ecf745d *man/elda.Rd +0b6a7297acb54c437ebdf4093c7b1969 *man/elda.Rd a1dc7fef218bd800d059402ddd291d2d *man/fitNBP.Rd 3508ac5839f19813b7894387b7a21bb7 *man/forward.Rd -552b043ed73e76b24a3ae0f8496dc78d *man/gauss.quad.Rd -1bf0e970aa2b8d6256bc36b638b9acad *man/gauss.quad.prob.Rd -b519af127d6e82fc906146470431867a *man/glmgam.Rd -87ff6241817138438572cd8dd9cc8ff1 *man/glmnbfit.Rd -0c5e6db0bffc33363aad2425cae33e1e *man/glmscoretest.Rd +51c944d7788b5683f2f7a41e51a8672e *man/gauss.quad.Rd +7d3d6d4daa37c9fc37d4a03b82d7e8f1 *man/gauss.quad.prob.Rd +d03406d3a739fe7b6027aa7954937918 *man/glmgam.Rd +455da9def3a71b5848593423234a2ac8 *man/glmnbfit.Rd +652e1e97a32a0245081a562199c101fc *man/glmscoretest.Rd a3395b99cb1d5e2b0a4e65d367e760c9 *man/growthcurve.Rd 0f8f3ac69241aedf8664fbdf9d50f085 *man/hommel.test.Rd 93df53ae01a97635287bd0abec533306 *man/invgauss.Rd @@ -45,14 +46,14 @@ 17ed9e7fcab528fd5ec9631dd8aab8d6 *man/permp.Rd 03485b19a3f73e050a942b597d9addc8 *man/plot.limdil.Rd 8e7ed19b1b289c9ce8fa54a482399d40 *man/power.Rd -774e2b79c8da8b15447383653ba03da8 *man/qresiduals.Rd +697952498d67f0ae9845e769fff8eb5d *man/qresiduals.Rd 185faf67649fe467b802b8e2fa77fc27 *man/remlscor.Rd 840325acacf28bed3ea24ec191f64795 *man/remlscorgamma.Rd 4049225be6fff5feb069a13f46f0c7a3 *man/sage.test.Rd 542b2dac5e344bf19914046c1fb85d57 *man/statmod.Rd -a16fc2f96f5db2171c62486719fe471b *man/tweedie.Rd +a6d428f10b8395f75d1ef78f1c6f7bb4 *man/tweedie.Rd d8a58e7e91ba0dbf41668a06d0bc34dc *man/welding.Rd 0848d2cac41cdeea7c861b02f73fafea *src/gaussq2.f f3404859db4cd3831a68abcad9917a9e *src/init.c -1dcf101d6b341a97e62b817414525d1a *tests/statmod-Tests.R -63c509f570df3e75f2c3d441dc245ccc *tests/statmod-Tests.Rout.save +e9274359951e825bf56bc071b5bb19ff *tests/statmod-Tests.R +85758d8fe4fd684e84aa986bcb98fe19 *tests/statmod-Tests.Rout.save diff -Nru r-cran-statmod-1.4.35/tests/statmod-Tests.R r-cran-statmod-1.4.36/tests/statmod-Tests.R --- r-cran-statmod-1.4.35/tests/statmod-Tests.R 2020-08-25 03:23:31.000000000 +0000 +++ r-cran-statmod-1.4.36/tests/statmod-Tests.R 2021-05-10 07:54:27.000000000 +0000 @@ -100,7 +100,7 @@ ### tweedie tw <- tweedie(var.power=1.25, link.power=0) -tw$linkinv( matrix(u,5,2,dimnames=list(R=LETTERS[1:5],C=letters[1:2])) ) +tw$linkinv( matrix(u[1:10],5,2,dimnames=list(R=LETTERS[1:5],C=letters[1:2])) ) ### extra tests done only locally diff -Nru r-cran-statmod-1.4.35/tests/statmod-Tests.Rout.save r-cran-statmod-1.4.36/tests/statmod-Tests.Rout.save --- r-cran-statmod-1.4.35/tests/statmod-Tests.Rout.save 2020-08-25 03:24:10.000000000 +0000 +++ r-cran-statmod-1.4.36/tests/statmod-Tests.Rout.save 2021-05-10 07:58:17.000000000 +0000 @@ -1,6 +1,6 @@ -R version 4.0.2 (2020-06-22) -- "Taking Off Again" -Copyright (C) 2020 The R Foundation for Statistical Computing +R version 4.1.0 beta (2021-05-06 r80268) -- "Camp Pontanezen" +Copyright (C) 2021 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 (64-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. @@ -358,7 +358,7 @@ > ### tweedie > > tw <- tweedie(var.power=1.25, link.power=0) -> tw$linkinv( matrix(u,5,2,dimnames=list(R=LETTERS[1:5],C=letters[1:2])) ) +> tw$linkinv( matrix(u[1:10],5,2,dimnames=list(R=LETTERS[1:5],C=letters[1:2])) ) C R a b A 2.451492935 1.223458802 @@ -376,4 +376,4 @@ > > proc.time() user system elapsed - 0.18 0.03 0.23 + 0.14 0.04 0.17