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: 0.8-9 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: 2024-10-13 DOI: 10.32614/CRAN.package.R2jags Author: Yu-Sung Su [aut, cre], Masanao Yajima [aut], Gianluca Baio [ctb] 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 Documentation: Downloads: Reverse dependencies: Reverse depends: BayesianMediationA, hbbr, hdbma, miscF, simmr Reverse imports: afthd, aggreCAT, agRee, BaHZING, baker, bamdit, bayesmsm, BayesPostEst, bhmbasket, boral, BTSPAS, CoDaLoMic, cosimmr, EBASE, eefAnalytics, 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, expertsurv, ftsa, gaawr2, gap, LakeMetabolizer, postpack, priorsense, rFIA Linking:Please use the canonical form https://CRAN.R-project.org/package=R2jags to link to this page.
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