Hi John, The Gamlss.mx <http://gamlss.mx/> package can accommodate variables that follow negative binomial (and other) distributions in multilevel models.
Mark > On Jun 25, 2016, at 11:00 PM, John Sorkin <jsor...@grecc.umaryland.edu> wrote: > > Is there a function that will run a model appropriate for over dispersed data > (such as a negative binomial or quasipoisson) > with a random effects (or mixed effects) model in R? GLMER will not accept: > family=quasipoisson(link="log") or > family=negbinomial(link="log") > > I want to run something like the following: > fit0 <- glmer(Fall ~ > Group+(1|PID)+offset(log(TimeYrs)),family=quasipoisson(link="log"),data=data) > Thank you > John > John David Sorkin M.D., Ph.D. > Professor of Medicine > Chief, Biostatistics and Informatics > University of Maryland School of Medicine Division of Gerontology and > Geriatric Medicine > Baltimore VA Medical Center > 10 North Greene Street > GRECC (BT/18/GR) > Baltimore, MD 21201-1524 > (Phone) 410-605-7119 > (Fax) 410-605-7913 (Please call phone number above prior to faxing) > > Confidentiality Statement: > This email message, including any attachments, is for ...{{dropped:16}} ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.