R help - Jun 2016 - function for over dispersed poisson regression in the setting of a random effects model

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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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 <jsorkin at
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}}