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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 |
Reference manual: | R2jags.pdf |
Package source: | R2jags_0.8-9.tar.gz |
Windows binaries: | r-devel: R2jags_0.8-9.zip, r-release: R2jags_0.8-9.zip, r-oldrel: R2jags_0.8-9.zip |
macOS binaries: | r-release (arm64): R2jags_0.8-9.tgz, r-oldrel (arm64): R2jags_0.8-9.tgz, r-release (x86_64): R2jags_0.8-9.tgz, r-oldrel (x86_64): R2jags_0.8-9.tgz |
Old sources: | R2jags archive |
Reverse depends: | BayesianMediationA, CCTpack, eivtools, hbbr, hdbma, HETOP, miscF, simmr |
Reverse imports: | afthd, agRee, baker, bamdit, BayesOrdDesign, BayesPostEst, bhmbasket, boral, BTSPAS, cosimmr, EBASE, eefAnalytics, HiLDA, IIVpredictor, isoWater, jagstargets, JAGStree, jarbes, longit, mcmsupply, midas2, MigConnectivity, missingHE, MixSIAR, popbayes, reslr, rnmamod, SeqFeatR, ssifs, SurviMChd |
Reverse suggests: | AICcmodavg, bridgesampling, broom.mixed, emdbook, ftsa, gap, LakeMetabolizer, postpack |
Please use the canonical form https://CRAN.R-project.org/package=R2jags to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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