MCMC for Generalized Linear Mixed Models with glmmBUGS

Authors

Patrick Brown, University of Toronto, and Cancer Care Ontario
Lutong Zhou, Cancer Care Ontario

Date of this Version

6-2010

Document Type

Article

Citation

The R Journal (June 2010) 2(1)

Comments

Copyright 2010, The R Foundation. Open access material. License: CC BY 3.0 Unported

Abstract

The glmmBUGS package is a bridging tool between Generalized Linear Mixed Models (GLMMs) in R and the BUGS language. It provides a simple way of performing Bayesian inference using Markov Chain Monte Carlo (MCMC) methods, taking a model formula and data frame in R and writing a BUGS model file, data file, and initial values files. Functions are provided to reformat and summarize the BUGS results. A key aim of the package is to provide files and objects that can be modified prior to calling BUGS, giving users a platform for customizing and extending the models to accommodate a wide variety of analyses.