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: 0.8-5
Depends: R (≥ 2.14.0), rjags (≥ 3-3)
Imports: abind, coda (≥ 0.13), graphics, grDevices, methods, R2WinBUGS, parallel, stats, stringr, utils
Suggests: testthat (≥ 3.0.0)
Published: 2024-05-04
DOI: 10.32614/CRAN.package.R2jags
Author: Yu-Sung Su ORCID iD [aut, cre], Masanao Yajima [aut]
Maintainer: Yu-Sung Su <suyusung at tsinghua.edu.cn>
BugReports: https://github.com/suyusung/R2jags/issues/
License: GPL (> 2)
NeedsCompilation: no
SystemRequirements: JAGS (http://mcmc-jags.sourceforge.net)
Materials: README ChangeLog
In views: Bayesian, Environmetrics, MixedModels
CRAN checks: R2jags results


Reference manual: R2jags.pdf


Package source: R2jags_0.8-5.tar.gz
Windows binaries: r-devel: R2jags_0.8-5.zip, r-release: R2jags_0.8-5.zip, r-oldrel: R2jags_0.8-5.zip
macOS binaries: r-release (arm64): R2jags_0.8-5.tgz, r-oldrel (arm64): R2jags_0.8-5.tgz, r-release (x86_64): R2jags_0.8-5.tgz, r-oldrel (x86_64): R2jags_0.8-5.tgz
Old sources: R2jags archive

Reverse dependencies:

Reverse depends: BayesianMediationA, CCTpack, eivtools, hbbr, hdbma, HETOP, miscF, simmr
Reverse imports: afthd, agRee, baker, bamdit, BayesOrdDesign, BayesPostEst, bhmbasket, boral, BTSPAS, cosimmr, EBASE, HiLDA, IIVpredictor, isoWater, jagstargets, jarbes, longit, MBNMAdose, MBNMAtime, mcmsupply, midas2, MigConnectivity, missingHE, MixSIAR, popbayes, reslr, rnmamod, SeqFeatR, ssifs, SurviMChd
Reverse suggests: AICcmodavg, bridgesampling, broom.mixed, emdbook, ftsa, gap, LakeMetabolizer, postpack


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