[R] generalized linear mixed models with a beta distribution

From: Craig A Faulhaber <caf_at_gis.usu.edu>
Date: Wed, 12 Mar 2008 12:41:22 -0600


Greetings,

I am interested in using a generalized linear mixed model with data that best fits a beta distribution (i.e., the data is bounded between 0 and 1 but is not binomial). I noticed that the beta distribution is not listed as an option in the "family objects" for glmmPQL or lmer. I found a thread on this listserve from 2006 ("[R] lmer and a response that is a proportion") that indicated that there was no package available for mixed effects models with a beta distribution at that time. This thread also indicated that package betareg did not allow inclusion of random effects.

Does anyone know of a package or code for a generalized linear mixed model that allows a beta distribution? Transforming my data might allow me to use another family, but I would rather not transform the data if possible. Thanks for your help!

Sincerely,
Craig Faulhaber



R-help_at_r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Wed 12 Mar 2008 - 18:50:25 GMT

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.2.0, at Wed 12 Mar 2008 - 20:30:22 GMT.

Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.

list of date sections of archive