You should post this on the r-sig-mixed-models list. You are more likely
to get a helpful response there.
Cheers,
Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic
I want to fit a random effects model with two separate nested random
effects. I can easily do this using the `lmer` package in R. Here's how:
model<-lmer(y ~ 1 + x + (1 | oid/gid) + (1 | did/gid), data=data)
Here, I'm fitting a random intercept for `oid` nested within `gid` and
`did` nested
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