runjags (2.0.4-6)

0 users

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.

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

License: GPL-2

Uses: coda, lattice, modeest, rjags, knitr
Reverse depends: BANOVA, bayescount, blavaan, IsotopeR, pivmet, TreeBUGS
Reverse suggests: bridgesampling, icensBKL, metamisc, surveillance, tidybayes

Released 2 months ago.

20 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of runjags yet. Want to be the first? Write one now.

Related packages: BACCO, BMA, BayHaz, BayesTree, BayesValidate, Bolstad, EbayesThresh, HI, Hmisc, LearnBayes, MCMCpack, MNP, R2WinBUGS, Runuran, arm, bayesm, bayesmix, bnlearn, boa, bqtl(20 best matches, based on common tags.)

Search for runjags on google, google scholar, r-help, r-devel.

Visit runjags on R Graphical Manual.