R2jags: Using R to Run 'JAGS' (original) (raw)
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 |
| BugReports: | https://github.com/suyusung/R2jags/issues/ |
| License: | GPL (> 2) |
| NeedsCompilation: | no |
| SystemRequirements: | JAGS (http://mcmc-jags.sourceforge.net) |
| Materials: | README |
| In views: | Bayesian, Environmetrics, MixedModels |
| CRAN checks: | R2jags results |
Documentation:
Downloads:
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, 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, ftsa, gap, LakeMetabolizer, postpack |
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=R2jagsto link to this page.