MCMCvis: Tools to visualize, manipulate, and summarize MCMC output

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Authors Casey Youngflesh
Journal/Conference Name J. Open Source Software
Paper Category
Paper Abstract MCMCvis is an R (R Core Team 2018) package to used to visualize, manipulate, and summarize MCMC output. MCMC output may be derived from Bayesian model output fit with JAGS (Plummer 2003), Stan (Carpenter et al. 2017), or other MCMC samplers. 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 package contains five functions: • MCMCsummary summarize MCMC output for particular parameters of interest • MCMCpstr summarize MCMC output for particular parameters of interest while preserving 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
Date of publication 2018
Code Programming Language R
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