[R] glmm

[Niko Speybroeck]

Hi Dimitris,
Thanks a lot for the answer! I see that in glmm you can specify "weight=" but
this is according to me corresponding to for example the frequency of a
certain observation and not to an weighing factor because of the sampling
design. Tell me if I'm wrong. Do you have an example with GLMM or glmmPQL, in
which you use sampling (probability) weights? Thanks in advance.
Niko
 

________________________________

Van: Dimitris Rizopoulos [mailto:dimitris.rizopoulos at med.kuleuven.ac.be]
Verzonden: do 2/09/2004 10:51
Aan: Niko Speybroeck
CC: r-help at stat.math.ethz.ch
Onderwerp: Re: [R] glmm



Hi Niko,

look at functions `GLMM' (package: lme4) and `glmmPQL' (package:
MASS).

Best,
Dimitris

----
Dimitris Rizopoulos
Doctoral Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven

Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/16/396887
Fax: +32/16/337015
Web: http://www.med.kuleuven.ac.be/biostat/
     http://www.student.kuleuven.ac.be/~m0390867/dimitris.htm


----- Original Message -----
From: "Niko Speybroeck" <NSpeybroeck at itg.be>
To: <R-help at stat.math.ethz.ch>
Sent: Thursday, September 02, 2004 10:42 AM
Subject: [R] glmm


>
> I am trying to use R. My question is if R can calculate a random
effect
> probit model {e.g. glmm} but including sampling weights. I am
desperately
> looking for a random effect model but wanted to use it on survey
data.
>
> Thanks for an answer: Niko Speybroeck.
>
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