[R-sig-ME] specifying multiple random effects in glmmML

[Ben Bolker]

    It seems impossible.  From the vignette 
https://cran.r-project.org/web/packages/glmmML/vignettes/glmmML.pdf :

 > The package glmmML generalises in
other directions. First, **it is only implemented for the simple random
intercepts model** and the Binomial and Poisson distributions, but it al-
lows for other distributions than the Normal for the random intercepts

   I can't think of any way to work around this limitation.

   I would guess the only way you will get further confirmation of this 
would be to ask the maintainer (but I'm not sure it makes sense to waste 
their time, as the documentation seems clear ...)

   good luck,

     Ben Bolker

On 8/1/24 14:01, Lee, Laura M via R-sig-mixed-models wrote:
> Hi all,
>
> I need to run a model in glmmML due to a restriction in some companion code. Is it possible to specify multiple random effects in the glmmML function? I would appreciate if someone could provide an example.
>
> Thanks so much for your time!
>
>
> Best,
>
> Laura
>
>
>
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