Do you absolutely have to model R-side effects? Maybe you can control for them another way? Maybe a fixed effect? If so then you can specify method=laplace or method=quad(qpoints=n). If you have large data and lots of random effects then stick to laplace or quad(qpoints=1) equivalent to start wtih.
Hi:
There is a SAS Statistical Procedures forum
http://communities.sas.com/community/sas_statistical_procedures
And, GLIMMIX would seem, to me, to fall under that category. There are WAY more statistical folks hanging out over in that forum than in the ODS forum.
Just my .02,
cynthia
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