This week, for the WGSA Workshop Series, Cassie Jansch will be discussing the R package glmmADMB. This workshop will be Wednesday March 25th at 4:00pm in the Dean's Conference Room.
The R software package {glmmADMB} allows for fitting generalized linear mixed models (GLMMs) within the R interface with the power of AD Model Builder (a program that I will freely admit I don't understand) to a further extent than other packages such as {lme4} allow. For example, you can fit models with responses described by a negative binomial distribution that include multiple random effects with incorporated zero inflation. There are also a variety of response distributions (including Beta, truncated Poisson, Gamma,...) and link functions (log, logit, probit,...) at your beck and call. Familiarity with GLMs and GLMMs is helpful in learning how this package can work for you. To properly run {glmmADMB}, R package {R2admb} is required, and installing these two in advance will allow us to dive into the fun a little quicker!
install.packages("glmmADMB", repos="http://r-forge.r-project.org", type="source")
install.packages("R2admb", repos="http://R-Forge.R-project.org")
Data files to download for the workshop:
intro_glmmadmb.R
countdata.csv
Please come by and check it out!
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