I have been using lme to model data with multiple nested random effects and
continuous response variables however I also have data with a binary
response variable, binomial errors and multiple levels of nesting of random
effects (e.g. site/block/quadrat/year), is there a package available which
will do this? Jim Lindsey's package "repeated" appears to be only
able to
cope with 2 levels of nesting.
Also I have been looking at the GLMMGibbs package but cannot locate the
document "GLMMGibbs: An R Package for Estimating Bayesian Generalised
Linear
Mixed Models by Gibbs Sampling" which is supposed to be distributed with
the package. Does anyone have this or can they tell me where to find it?
Thanks,
Yvonne Buckley
********************************************************************
Yvonne Buckley
Department of Biology
Imperial College at Silwood Park
Ascot, Berkshire
SL5 7PY
tel: 0207 5942 364 (office)
tel: 01344 891 539 (home)
fax: 0207 5942 339
email: y.buckley at ic.ac.uk
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