I believe that glmm.admb relies on the proprietary software ADMB. If so, your question is inappropriate for this list which is for discussion and assistance regarding the open source and freely available software R.
There are ways of fitting a generalized linear mixed model in R, in particular the glmer function in the lme4 package. It would be appropriate to ask about that software on this list. On Aug 1, 2007 5:11 AM, Alan Harrison <[EMAIL PROTECTED]> wrote: > Hello Folks, > > I'm after some help regarding mixed models. > Basically I have sampled a number of different animals at 10 independent > sites and am trying to create a mixed model to account for the variation > between sites my current model looks like this: > > mm<-glmm.admb(Hep~Sex+Mass, random=~Mouse, group=Location, data=alan, > family="binomial", link="logit") > > I numbered each animal within each site 1->n to create the "Mouse" variable, > then grouped this by "Location", it is the variance component of the site > that I am interested in so when I get my output with the SD for "Mouse" is > that what I want or have I structured the model incorrectly?? > > Any help much appreciated, > Thanks > Alan. > > Alan Harrison > > Quercus > Queen's University Belfast > MBC, 97 Lisburn Road > Belfast > > BT9 7BL > > T: 02890 972219 > M: 07798615682 > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
