vlahm/MCMCwrap: Organize MCMC output for analysis and plotting
Version 1.0

The 'coda' package (maintainer: Martyn Plummer is commonly used to carry out Markov Chain Monte Carlo simulations, especially for the analysis of Bayesian hierarchical models in JAGS (Just Another Gibbs Sampler - also maintained by Plummer). Package 'coda' has a ton of built-in functions for viewing and assessing MCMC outputs, but the actual values it draws from posterior distributions tend to end up buried inside complex package-specific objects. MCMCwrap provides wrapper functions for extracting MCMC posterior draws from mcmc.list objects, generated by coda and organizing them into arrays for easy plotting and external diagnostics.

Getting started

Package details

Maintainer
LicenseGPL-3
Version1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("vlahm/MCMCwrap")
vlahm/MCMCwrap documentation built on May 27, 2017, 9:54 p.m.