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A Gibbs Sampler for Bayesian hierarchical models with MCMC

JAGS is a Gibbs sampler designed to be used to analyze Bayesian Hierarchical Models using a Markov Chain Monte Carlo (MCMC) approach. It is intended to be an extensible, customizable engine for the BUGS model description language and to provide a powerful platform to experiment with Bayesian modeling.

Using JAGS on RCC Resources#

JAGS is available on the HPC cluster. To run JAGS, simply type jags into the command-line and an interactive prompt will appear.

For a complete reference on options and required I/O files, please refer to the manual which can be found as a download on the JAGS website. JAGS can run BUGS language script files from the command line as well as be used in interactive mode.