What are you trying to do with varIdent with logistic regression
with variance components? Have you considered the weights argument in
glm or glmmPQL? It sounds to me like you are trying to estimate 'size'
for a binomial distribution, and I have trouble visualizing a context
where that would be reasonable that would NOT be handled by the random
effects portion of glmmPQL{MASS} or lmer{lme4}.
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commented, minimal, self-contained, reproducible code, as suggested in
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Hope this helps, even if it doesn't answer your question.
Spencer Graves
Gretchen wrote:
> Hello R users-
> I am new to R, and tried searching the archives and literature for an answer
> to this - please be patient if I missed something obvious.
>
> I am fitting a logistic regression model, and would like to include variance
> functions (specifically the varIdent function). I cannot figure out how to
> do this either in glmmPQL (or something similar) for the model with random
> effects, or in glm for the model without random effects. Is it possible to
> fit a varIdent function in a generalized linear model? If so, what are the
> appropriate packages/functions to use?
>
> Any help would be appreciated.
> Thank you,
> Gretchen Anderson
>
>
>
> M.Sc. Candidate
>
> Dept. of Fisheries and Wildlife
>
> Michigan State University
>
> 13 Natural Resources Building
>
> East Lansing, MI 48824
>
> Phone: (517) 353-0731
>
> E-Mail: [EMAIL PROTECTED]
>
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
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