[R] library for mixed GLM?
helgito at hi.is
Tue May 29 14:33:48 CEST 2001
I recently had to use GLMM(). I tested both Lindsey's GLMM and
GLIMMGibbs. For the
case of a random intercept I found Lindsey's GLMM more reliable. When
converged the qualitative nature of the answers was similar. GLIMMGibbs
broke down more
often, or I failed to tune the simulation proberly.
However, GLMMGibbs allows for, say, two random factors, which (I think)
was not possible
with Lindsey's GLMM:
I shall test this further.
Troels Ring wrote:
> What is it you wanted from GLMM() which you couldn't find in Jim's related
> functions, gnlr og gnlmm for instance ? -
> Best wishes
> 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
> > 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...
> > 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
> >r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
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Helgi Tomasson FAX: 354-552-6806
University of Iceland PHONE:354-525-4571
Faculty of Economics and Business Administration
email:helgito at rhi.hi.is
Oddi v/ Sturlugotu
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