ggmcmc: Analysis of MCMC Samples and Bayesian Inference | Zendy

Xavier FernándeziMarín | Zendy

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ggmcmc: Analysis of MCMC Samples and Bayesian Inference

Author(s) -

Xavier FernándeziMarín

Publication year - 2016

Publication title -

journal of statistical software

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 7.636

H-Index - 145

ISSN - 1548-7660

DOI - 10.18637/jss.v070.i09

Subject(s) - markov chain monte carlo , bayesian probability , inference , computer science , bayesian inference , statistical inference , r package , monte carlo method , convergence (economics) , econometrics , statistics , mathematics , artificial intelligence , computational science , economics , economic growth

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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