r-cran-stanheaders 2.18.0-1 source package in Ubuntu

Changelog

r-cran-stanheaders (2.18.0-1) unstable; urgency=medium

  * New upstream version
  * Standards-Version: 4.2.1

 -- Andreas Tille <email address hidden>  Fri, 12 Oct 2018 07:50:48 +0200

Upload details

Uploaded by:
Debian R Packages Maintainers on 2018-10-12
Uploaded to:
Sid
Original maintainer:
Debian R Packages Maintainers
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Disco release on 2018-11-09 universe misc

Downloads

File Size SHA-256 Checksum
r-cran-stanheaders_2.18.0-1.dsc 2.1 KiB 884622bc6b6aec1977a92646b34e5d0f91b960970816870b0aa7a9247543ca4c
r-cran-stanheaders_2.18.0.orig.tar.gz 1.2 MiB 2530b7a04b7c4b40d89a90cadbab8ac17d62341aacdcceebfe3a1c2587244fc0
r-cran-stanheaders_2.18.0-1.debian.tar.xz 3.6 KiB e1bd1dfff3ef0f909ef5527fcb3518e9ed03f36150195ea832fbd64168d7861e

No changes file available.

Binary packages built by this source

r-cran-stanheaders: C++ Header Files for Stan for GNU R

 The C++ header files of the Stan project are provided by this package,
 but it contains no R code, vignettes, or function documentation. There
 is a shared object containing part of the 'CVODES' library, but it is
 not accessible from R. 'StanHeaders' is only useful for developers who
 want to utilize the 'LinkingTo' directive of their package's DESCRIPTION
 file to build on the Stan library without incurring unnecessary
 dependencies. The Stan project develops a probabilistic programming
 language that implements full or approximate Bayesian statistical
 inference via Markov Chain Monte Carlo or 'variational' methods and
 implements (optionally penalized) maximum likelihood estimation via
 optimization. The Stan library includes an advanced automatic
 differentiation scheme, 'templated' statistical and linear algebra
 functions that can handle the automatically 'differentiable' scalar
 types (and doubles, 'ints', etc.), and a parser for the Stan language.
 The 'rstan' package provides user-facing R functions to parse, compile,
 test, estimate, and analyze Stan models.