Look at package lme4. If you have code set up for glme(), adapting it to glmmPQL in package MASS will be rather easier, but if you are starting afresh I would suggest you learn the lme4 syntax straight away.
On Fri, 7 Dec 2007, HAKAN DEMIRTAS wrote: > Thanks for your reply. I am looking for an R package that has the same > functionality of the glme() function within the correlatedData library in > SPlus 6.2 or above. This generic function fits a generalized linear > mixed-effects model in the formulation described in Breslow and Clayton > (1993) but allowing for nested random effects. The within-group errors are > allowed to be correlated and/or have additional heteroscedastic patterns. > Regards, Hakan Demirtas -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ 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.
