Hi, Is there an R library that has the same functionalities of Splus7.0+ library correlatedData? I'd appreciate any input. Hakan Demirtas [[alternative HTML version deleted]]
HAKAN DEMIRTAS wrote:> Hi, > > Is there an R library that has the same functionalities of Splus7.0+ library correlatedData?If you mean an R *package* and tell us what functionalities are available in "Splus7.0+ library correlatedData", we might be able to help. Uwe Ligges> I'd appreciate any input. > > Hakan Demirtas > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at 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.
Hi, 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
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, ripley at stats.ox.ac.uk 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