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:[EMAIL PROTECTED] Verzonden: do 2/09/2004 10:51 Aan: Niko Speybroeck CC: [EMAIL PROTECTED] 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" <[EMAIL PROTECTED]> To: <[EMAIL PROTECTED]> 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. > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html ______________________________________________ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
