`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.
Casey Youngflesh <caseyyoungflesh@gmail.com> Christian Che-Castaldo <chrischecastaldo@protonmail.com>
Maintainer: Casey Youngflesh caseyyoungflesh@gmail.com (ORCID)
Authors:
Christian Che-Castaldo christian.che-castaldo@stonybrook.edu (ORCID)
Other contributors:
Tyler Hardy [contributor]
The following functions are currently available:
-MCMCsummary - summarize MCMC output for particular parameters of interest
-MCMCpstr - summarize MCMC output for particular parameters of interest while preserving original parameter structure
-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)
-MCMCdiag - create a .txt file and save specified objects that summarize model inputs, outputs, and diagnostics
Example data can be loaded using data(MCMC_data).
`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.
Useful links: