Let's look at the first example on the help page for "glmmQPL":
library(MASS)
library(nlme) # will be loaded automatically if omitted
fitPQL <- glmmPQL(y ~ trt + I(week > 2), random = ~ 1 | ID,
family = binomial, data = bacteria)
fitPQL
VarCorr(fitPQL)
VarCorr(fitPQL)[2,2]
You might also be interested in some other functions that might help
you solve problems like this in the future:
'str(fitPQL)' provides a compact summary of 'fitPQL'.
'class(fitPQL)' tells us it is of class 'glmmPQL' and 'lme'
'methods(class="lme")' identifies all the functions with special
methods written for 'lme' objects.
Hope this helps.
Spencer Graves
Maria Salomé Esteves Cabral wrote:
> Hi!
>
> Can anyone let me know how can I get the stdDev of the random intercept from
> the output of glmmPQL?
>
>
> Thanks
>
> Salomé
>
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and provide commented, minimal, self-contained, reproducible code.
