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tile_prog
2008 Aug 25
1
Specifying random effects distribution in glmer()
...out a Poisson regression fit to
longitudinal data with a gamma distribution with unknown shape and
scale parameters.
I've tried the 'lmer4' package's glmer() function, which fits the
Poisson regression using:
library('lme4')
fit5<- glmer(seizures ~ time + progabide + timeXprog +
offset(lnPeriod) + (1|id),
data=pdata, nAGQ=1, family=poisson) #note: can't use nAGQ>1, not
yet implemented
summary(fit5)
Here 'seizures' is a count and 'id' is the subject number.
This fit works, but uses the Poisson distribution with the gamma heterogeneity.
Based...