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.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("R2jags")

0.6-1 by Yu-Sung Su, 10 months ago


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


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


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

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


Imported by BTSPAS, MBNMAdose, MBNMAtime, MixSIAR, SeqFeatR, agRee, bamdit, bhmbasket, boral, jarbes, missingHE.

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

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


See at CRAN