Facilitates Bayesian analyses using 'JAGS' (Just Another Gibbs Sampler). Key features include the conversion of a data frame into a suitable format for input into 'JAGS'; the option to manually or automatically increase the length of the 'MCMC' (Markov Chain Monte Carlo) chains until convergence is achieved; the option to run 'MCMC' chains on separate processes; the ability to extract derived parameters including posterior predictive checks from an existing model using 'BUGS' code (in the 'JAGS' dialect) without additional 'MCMC' sampling; simple generation of data frames quantifying the effect (and effect size) of particular variables with the other variables held constant.
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
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