ggmcmc

Fernández-i-Marín, Xavier (2016): ggmcmc. Analysis of MCMC Samples and Bayesian Inference. In: Journal of Statistical Software, Vol. 70, No. 9: pp. 1-20

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.

• Item Type: Journal article
• Keywords: ggmcmc; MCMC; Bayesian inference
• Faculties: Social Sciences > Geschwister-Scholl-Institute for Political Science
• Subjects: 000 Computer science, information and general works > 004 Data processing computer science; 300 Social sciences > 310 Statistics
• ISSN: 1548-7660
• Language: English