rjags: Bayesian Graphical Models using MCMC

Interface to the JAGS MCMC library.

Version: 4-6
Depends: R (≥ 2.14.0), coda (≥ 0.13)
Suggests: tcltk
Published: 2016-02-19
Author: Martyn Plummer [aut, cre], Alexey Stukalov [ctb], Matt Denwood [ctb]
Maintainer: Martyn Plummer <plummerm at iarc.fr>
License: GPL (== 2)
URL: http://mcmc-jags.sourceforge.net
NeedsCompilation: yes
SystemRequirements: JAGS 4.x.y
Materials: INSTALL
In views: Bayesian, Cluster, gR
CRAN checks: rjags results


Reference manual: rjags.pdf
Package source: rjags_4-6.tar.gz
Windows binaries: r-devel: rjags_4-6.zip, r-release: rjags_4-6.zip, r-oldrel: rjags_4-6.zip
OS X Mavericks binaries: r-release: rjags_4-6.tgz, r-oldrel: rjags_4-6.tgz
Old sources: rjags archive

Reverse dependencies:

Reverse depends: auRoc, BANOVA, BaySIC, HydeNet, lira, metamisc, pcnetmeta, prevalence, PurBayes, R2jags, simmr, zoib
Reverse imports: bamdit, bayescount, bayesmix, bdpopt, BTSPAS, CCTpack, crmPack, dclone, EasyMARK, gemtc, jagsUI, morse, RcmdrPlugin.RMTCJags, SIBER, StatMethRank
Reverse suggests: bcrm, blavaan, covafillr, dcmle, LEAPFrOG, lucid, MethComp, nCal, runjags