Ubuntu
r-cran-stanheaders package

r-cran-stanheaders 2.26.28-2 source package in Ubuntu

Changelog

r-cran-stanheaders (2.26.28-2) unstable; urgency=medium

  [ Andreas Tille ]
  * Team Upload.
  * Add some upstream metadata 

  [ Nilesh Patra ]
  * Re-instantiate previous patch properly
    (Closes: #1052750, #1052734, #1052726)

 -- Nilesh Patra <email address hidden>  Thu, 26 Oct 2023 00:24:28 +0530

Upload details

Uploaded by:
Debian R Packages Maintainers
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

Downloads

File Size SHA-256 Checksum
r-cran-stanheaders_2.26.28-2.dsc 1.7 KiB a564a5cf332a963575c5c6bb09e39933063bbefb3c015fa0d404312c1ac01300
r-cran-stanheaders_2.26.28.orig.tar.gz 2.2 MiB 938a8d96d3a64357b5fee73eea2923a2a2292a062ff516ea8c720756ec7e3de8
r-cran-stanheaders_2.26.28-2.debian.tar.xz 9.0 KiB 51bde0bd64bc6533957e0ffb250b6bc956d578c123a559e55d749b88fb9ec47f

Available diffs

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.