[R] function for over dispersed poisson regression in the setting of a random effects model

[John Sorkin]

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) 

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