[R] correlated data

[Prof Brian Ripley]

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)
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