[R-sig-ME] A glmm prediction problem
David Hinds
David_Hinds at perlegen.com
Wed Jan 30 21:02:10 CET 2008
I'm using lmer with a generalized linear (binomial) mixed model with
nested
random effects, like:
y ~ (1 | a / b / c)
There are no fixed effects. After fitting the model, I would like to
make
predictions for a new set of y values: specifically, I want to predict
BLUPs
for the random effects, and I would like to compute likelihoods for sets
of
y values under the fitted model.
I don't see a completely straightforward way of doing this since it
isn't
the usual sort of prediction problem. Is this even a sensible thing to
do?
-- David Hinds
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