For a Monte Carlo study I need to extract from an lme model
the estimated standard deviation of a random effect
and store it in a vector. If I do a print() or summary()
on the model, the number I need is displayed in the Console
[it's the 0.1590195 in the output below]
>print(fit)
>Linear mixe
Spencer Graves wrote:
> Have you considered "VarCorr"? I've used it with "lme", and the
>documentation in package lme4 suggests it should work with GLMM, which
>might also do what you want from glmmPQL.
Thanks for the pointer (I was not aware that nlme and lme4 had different
versions of
Have you considered "VarCorr"? I've used it with "lme", and the
documentation in package lme4 suggests it should work with GLMM, which
might also do what you want from glmmPQL.
hope this helps. spencer graves
Stephen Ellner wrote:
For a Monte Carlo study I need to extract from an lm
I just tried it in both lme4 and nlme. I got it in nlme but not
lme4. I'm sure lme4 is better in many ways, but I could not figure out
how to get what you want in lme4.
Specifically, I tried the following:
DF <- data.frame(x=rep(letters[1:2], 2), y=rep(1:2, 2)+0.01*(1:4))
fit <- l
I'm actually replying to Stephen's message but I had already deleted it
before I read Spencer's message. (I'm on a slow connection and I am
simultaneously downloading a big file so I am trying to optimize
bandwidth, sometimes with unfortunate results.)
In the previous message the author showed
