[R] library for mixed GLM?
tring at gvdnet.dk
Mon May 28 06:53:39 CEST 2001
What is it you wanted from GLMM() which you couldn't find in Jim's related
functions, gnlr og gnlmm for instance ? -
At 19:22 5/27/01, you 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
>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...
> O__ ---- Peter Dalgaard Blegdamsvej 3
> c/ /'_ --- Dept. of Biostatistics 2200 Cph. N
> (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918
>~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907
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