Abstract
The glmmBUGS package is a bridging tool between Generalized Linear Mixed Mod- els (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 cus- tomizing and extending the models to accommo- date a wide variety of analyses.
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