A Wrapper Around 'rjags' to Streamline 'JAGS' Analyses

A set of wrappers around 'rjags' functions to run Bayesian analyses in 'JAGS' (specifically, via 'libjags'). A single function call can control adaptive, burn-in, and sampling MCMC phases, with MCMC chains run in sequence or in parallel. Posterior distributions are automatically summarized (with the ability to exclude some monitored nodes if desired) and functions are available to generate figures based on the posteriors (e.g., predictive check plots, traceplots). Function inputs, argument syntax, and output format are nearly identical to the 'R2WinBUGS'/'R2OpenBUGS' packages to allow easy switching between MCMC samplers.


Reference manual

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install.packages("jagsUI")

1.6.3 by Ken Kellner, 9 months ago


https://kenkellner.com/jagsUI/


Report a bug at https://github.com/kenkellner/jagsUI/issues


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


Authors: Ken Kellner [cre, aut] , Mike Meredith [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports coda, graphics, grDevices, parallel, rjags, stats, utils

Suggests knitr, markdown, tinytest

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


Imported by BeQut, EcoDiet, JMbayes, UHM, jagshelper.

Depended on by occumb.

Suggested by AICcmodavg, postpack, tidybayes.


See at CRAN