[R] library for mixed GLM?

[Tord Snall]

Dear Ripley, Dalgaard and Ring,
Thanks all for the recommendations, and especially thanks Troel Ring for
providing me with further information and examples!

I have now tried both Lindsey's library and GLMMGibbs and I experienced the
same as Helgi describe below. 

I use R 1.2.3 on Win NT.


Sincerely,
Tord

>
>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
>both methods
>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.
>
>regards
>
>Helgi
>
>
>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
>> 
>> Troels
>> 
>> 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
>>
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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
>IS-101 Reykjavik
>ICELAND
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-----------------------------------------------------------------------
Tord Snäll
Avd. f växtekologi, Evolutionsbiologiskt centrum, Uppsala universitet
Dept. of Plant Ecology, Evolutionary Biology Centre, Uppsala University
Villavägen 14			
SE-752 36 Uppsala, Sweden
Tel: 018-471 28 82 (int +46 18 471 28 82) (work)
Tel: 018-25 71 33 (int +46 18 25 71 33) (home)
Fax: 018-55 34 19 (int +46 18 55 34 19) (work)
E-mail: Tord.Snall at ebc.uu.se
http://www.vaxtbio.uu.se/resfold/snall.htm
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