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

Simon Blomberg s.blomberg1 at uq.edu.au
Wed May 12 05:59:01 CEST 2010

Jim Lindsey's repeated package has function gnlmm which will fit neg-bin
mixed effects models with one level of nesting. See:


Jim's packages are non-CRAN. There are source packages and Windows
binaries. There is also a binary package in the Debian repository, but
it currently doesn't work for R > 2.10.0.


On Tue, 2010-05-11 at 23:36 -0400, Ben Bolker wrote:
> 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.
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