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.


Reference manual

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0.7-1 by Yu-Sung Su, 4 months ago

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Browse source code at

Authors: Yu-Sung Su <[email protected]> , Masanao Yajima <[email protected]> ,

Documentation:   PDF Manual  

Task views: Bayesian Inference

GPL (> 2) license

Imports abind, coda, graphics, grDevices, methods, R2WinBUGS, parallel, stats, utils

Depends on rjags

Suggests testthat

System requirements: JAGS (

Imported by BTSPAS, BayesOrdDesign, BayesPostEst, IIVpredictor, MBNMAdose, MBNMAtime, MIIPW, MixSIAR, SeqFeatR, SurviMChd, afthd, agRee, bamdit, bhmbasket, boral, isoWater, jarbes, longit, missingHE, popbayes, rnmamod.

Depended on by CCTpack, HETOP, IUPS, eivtools, hbbr, miscF, simmr.

Suggested by AICcmodavg, BCEA, LakeMetabolizer, bridgesampling, broom.mixed, emdbook, ftsa, gap, rFIA.

See at CRAN