R2jags: Using R to Run 'JAGS'

Providing wrapper functions to implement Bayesian analysis in JAGS. Some major features include monitoring convergence of a MCMC model using Rubin and Gelman Rhat statistics, automatically running a MCMC model till it converges, and implementing parallel processing of a MCMC model for multiple chains.

Version: 0.5-6
Depends: R (≥ 2.14.0), rjags (≥ 3-3)
Imports: abind, coda (≥ 0.13), methods, R2WinBUGS, parallel
Published: 2015-04-21
Author: Yu-Sung Su, Masanao Yajima,
Maintainer: Yu-Sung Su <suyusung at tsinghua.edu.cn>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
SystemRequirements: JAGS (http://mcmc-jags.sourceforge.net)
Materials: ChangeLog
In views: Bayesian
CRAN checks: R2jags results

Downloads:

Reference manual: R2jags.pdf
Package source: R2jags_0.5-6.tar.gz
Windows binaries: r-devel: R2jags_0.5-6.zip, r-release: R2jags_0.5-6.zip, r-oldrel: R2jags_0.5-6.zip
OS X Snow Leopard binaries: r-release: R2jags_0.5-6.tgz, r-oldrel: R2jags_0.5-6.tgz
OS X Mavericks binaries: r-release: R2jags_0.5-6.tgz
Old sources: R2jags archive

Reverse dependencies:

Reverse depends: BayesMed, CCTpack, IUPS
Reverse imports: agRee, boral, classify
Reverse suggests: AICcmodavg, BCEA, BCEs0, ftsa, iBUGS, LakeMetabolizer
Reverse enhances: glmmBUGS