'MCMCvis' is an R package used to visualize, manipulate, and summarize MCMC output. MCMC output may be derived from Bayesian model output fit with JAGS, Stan, or other MCMC samplers.
The following functions are currently available:
MCMCsummary (summarize MCMC output for particular parameters of interest)
MCMCtrace (create trace and density plots of MCMC chains for particular parameters of interest)
MCMCchains (easily extract posterior chains from MCMC output for particular parameters of interest)
MCMCplot (create caterpillar plots from MCMC output for particular parameters of interest)
Example data can be loaded using
‘MCMCvis' was designed to perform key functions for MCMC analysis using minimal code, in order to free up time/brainpower for interpretation of analysis results. Functions support simple and straightforward subsetting of model parameters within the calls, and produce presentable, ’publication-ready' output.
The vignette can be run using
vignette('MCMCvis') if vignette is built when installing package.
Casey Youngflesh <email@example.com>
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