[R] library for mixed GLM?

[Prof Brian D Ripley]

On 27 May 2001, Peter Dalgaard BSA wrote:

> Tord Snall <tord.snall at ebc.uu.se> writes:
>
> > Dear all,
> >
> > I am taking a course in GLM given by a devoted SAS user. He has given us a
> > homework where  a mixed GLM with a logistic link and binomially distributed
> > observations should be fitted.
> >
> > I know of the library nlme for mixed effect models but as I understand it,
> > one cannot choose between different links and distributions in the
> > functions provided there.
> >
> > I have so far managed very well with R (and of course given him my R code
> > ;-) ) but now I am stuck. Could someone please point me at a suitable library.
>
> The mailing list search engine came up with a short discussion almost
> exactly a year back.
>
> I suspect the closest you get is the glmm() function in Jim Lindsey's
> repeated library (http://www.luc.ac.be/~jlindsey/rcode.html). It's
> rather restricted in what it does, but it might be that what it does
> happens to be what you need...

There's also GLMMgibbs more recently, which although still restrictive
(although less that Lindsey's `glmm') is a implementing theoretically sound
method rather than an approximation of (more or less) unknown value.

-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272860 (secr)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

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