[R-sig-ME] Negative binomial mixed effects modeling

[David Zajanc]

Thanks for the input to all who have replied.  Will mull these options
over with my colleagues before proceeding.

David

-----Original Message-----
From: Ben Bolker [mailto:bolker at ufl.edu] 
Sent: Tuesday, May 11, 2010 8:37 PM
To: David Zajanc
Cc: r-sig-mixed-models at r-project.org
Subject: Re: [R-sig-ME] Negative binomial mixed effects modeling

David Zajanc wrote:
> Hi,
> 
>  
> 
> I am looking into ways to fit a negative binomial mixed effects model
to
> our data, but have not found any obvious methods in searching through
> the archives of this list.  I noticed suggestions for using the
> quasipoisson distribution, but our dataset appears better suited for
the
> negative binomial model, based on past analyses using GLM.  It appears
> that "glmer" of package "lme4" is not currently capable of fitting a
> negative binomial model, though please correct me if I'm wrong about
> this.  Any feedback or suggestions would be welcomed.

  At the moment you need glmmADMB, or glmmBUGS, or R2WinBUGS, or AD
Model Builder, or ... see <http://glmm.wikidot.com/faq> for (not much)
more information.