# The 'MCMCvis' package

### Description

'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.

### Details

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 `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 and 'publication-ready' output.

The vignette can be run using `vignette('MCMCvis')`

if vignette is built when installing package.

### Author(s)

Casey Youngflesh <caseyyoungflesh@gmail.com>