Hi All - Doug, thanks for your reply. The context I'm looking at is a Poisson GLMM with random (intercept,slope) for each subject. The variance-covariance matrix is 2x2. By unstructured, I meant a 3 parameter matrix (sig1^2,sig2^2,sig12), as compared to a (reduced) alternative diagonal structure.
Dan -----Original Message----- From: dmba...@gmail.com [mailto:dmba...@gmail.com] On Behalf Of Douglas Bates Sent: Tuesday, November 16, 2010 1:01 PM To: Daniel Jeske Cc: r-help@r-project.org; R-mixed models mailing list Subject: Re: [R] Question about GLMER I am cc:ing the r-sig-mixed-mod...@r-project.org mailing list on this reply as such questions are often answered more quickly on that list. On Tue, Nov 16, 2010 at 2:00 PM, Daniel Jeske <daniel.je...@ucr.edu> wrote: > Dear R Help, > I believe the glmer() function in lme4 automatically fits an > unstrucruted covariance matirx for the random effects. Is that true? The short answer is "no". The longer answer is that you will need to be more specific about the form of the data and the model before your question can be answered. "unstructured" variance-covariance is SAS-speak (and an oxymoron, but I promise not to rant about that). So please give us a context. > If so, do I have an option to somehow ask for a > diagonal structured covariance matrix? No virus found in this incoming message. Checked by AVG - www.avg.com 23:34:00 ______________________________________________ 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.
