[R] Specify multiple nested random effects in lme with heteroskedastic variance across group
bgunter.4567 at gmail.com
Wed Feb 21 12:36:33 CET 2018
You should post this on the r-sig-mixed-models list. You are more likely
to get a helpful response there.
"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 strip )
On Tue, Feb 20, 2018 at 8:06 PM, suraj keshri <surajkeshri at gmail.com> wrote:
> 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 within `gid`. This works well. However, I want to fit a model
> where the variance of the intercept changes with the `gid` for both the
> random effects. `nlme` package is capable of doing that. However, it's not
> clear how. The best I could do is like so:
> model <- lme(y ~ 1 + x, random=list(gid=~1, oid=~1, did=~1),
> weights=varIdent(form=~1|gid), data = data)
> but this nests the `did` within `oid` and `gid` nested together. I tried to
> use the idea from a similar [question], which seems like a close problem
> but the answer has not been explained well in that question. I hope someone
> can figure this out.
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