Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Xavier Fernández-i-Marín
Title: ggmcmc: Analysis of MCMC Samples and Bayesian Inference
Abstract: ggmcmc is an R package for analyzing Markov chain Monte Carlo simulations from Bayesian inference. By using a well known example of hierarchical/multilevel modeling, the article reviews the potential uses and options of the package, ranging from classical convergence tests to caterpillar plots or posterior predictive checks.

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Paper: ggmcmc: Analysis of MCMC Samples and Bayesian Inference     Download PDF (Downloads: 3043)
Supplements:
ggmcmc_1.0.tar.gz: R source package Download (Downloads: 134; 2MB)
v70i09.R: R replication code Download (Downloads: 188; 3KB)
DOI: 10.18637/jss.v070.i09

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.