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.

R2jags

R2jags: Using R to Run 'JAGS'

Reference manual

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install.packages("R2jags")

0.8-9 by Yu-Sung Su, 2 years ago

Report a bug at https://github.com/suyusung/R2jags/issues/

Browse source code at https://github.com/cran/R2jags

Authors: Yu-Sung Su [aut, cre] , Masanao Yajima [aut] , Gianluca Baio [ctb]

Documentation:   PDF Manual  

GPL (> 2) license

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

Depends on rjags

Suggests testthat

System requirements: JAGS (http://mcmc-jags.sourceforge.net)

Imported by BTSPAS, BayesPostEst, CoDaLoMic, EBASE, IIVpredictor, MBNMAdose, MBNMAtime, MigConnectivity, MisRepARMA, MixSIAR, NAPrior, SurviMChd, afthd, agRee, aggreCAT, autoMR, baker, bamdit, bayesmsm, bml, boral, cosimmr, eefAnalytics, isoWater, jagstargets, jarbes, longit, mcmsupply, midas2, missingHE, mvnma, popbayes, reslr, rnmamod, sparsesurv, ssifs.

Depended on by BayesianMediationA, hbbr, hdbma, miscF, simmr.

Suggested by AICcmodavg, LakeMetabolizer, binest, bridgesampling, broom.mixed, emdbook, expertsurv, ftsa, gaawr2, gap, mcmsector, postpack, priorsense, rFIA.

See at CRAN

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