Interface Utilities, Model Templates, Parallel Computing Methods and Additional Distributions for MCMC Models in JAGS

User-friendly interface utilities for MCMC models via Just Another Gibbs Sampler (JAGS), facilitating the use of parallel (or distributed) processors for multiple chains, automated control of convergence and sample length diagnostics, and evaluation of the performance of a model using drop-k validation or against simulated data. Template model specifications can be generated using a standard lme4-style formula interface to assist users less familiar with the BUGS syntax. A JAGS extension module provides additional distributions including the Pareto family of distributions, the DuMouchel prior and the half-Cauchy prior.


Reference manual

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2.2.0-3 by Matthew Denwood, a month ago

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Authors: Matthew Denwood [aut, cre] , Martyn Plummer [cph] (Copyright holder of the code in src/distributions/DPar1.* , , R/rjags_functions.R , and original copyright holder of some modified code where indicated)

Documentation:   PDF Manual  

Task views: Bayesian Inference

GPL-2 license

Imports parallel, lattice, coda, stats, utils

Suggests rjags, modeest, testthat, knitr, markdown, spelling

System requirements: JAGS >= 4.3.0 (

Imported by BANOVA, BayLum, BayesPostEst, BayesTools, IsotopeR, MPTmultiverse, RcmdrPlugin.RMTCJags, Replication, RoBMA, TreeBUGS, activityGCMM, bayescount, bfw, pivmet.

Suggested by blavaan, bridgesampling, icensBKL, metamisc, surveillance, tidybayes.

See at CRAN