Source: r-cran-mcmc
Section: gnu-r
Priority: optional
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders: Chris Lawrence <lawrencc@debian.org>
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-mcmc
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-mcmc.git
Homepage: https://cran.r-project.org/package=mcmc
Standards-Version: 4.6.2
Rules-Requires-Root: no
Build-Depends: debhelper-compat (= 13),
               dh-r,
               r-base-dev
Testsuite: autopkgtest-pkg-r

Package: r-cran-mcmc
Architecture: any
Depends: ${R:Depends},
         ${shlibs:Depends},
         ${misc:Depends}
Recommends: ${R:Recommends}
Suggests: ${R:Suggests}
Enhances: r-cran-mcmcpack
Description: GNU R package for Markov Chain Monte Carlo simulations
 Simulates continuous distributions of random vectors using Markov
 chain Monte Carlo (MCMC). Users specify the distribution by an R
 function that evaluates the log unnormalized density. Algorithms are
 random walk Metropolis algorithm (function metrop), simulated
 tempering (function temper), and morphometric random walk Metropolis
 (Johnson and Geyer, Annals of Statistics, 2012, function
 morph.metrop), which achieves geometric ergodicity by change of
 variable.