specifying multiple random effects in glmmML
?? 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 ############################# Laura M. Lee USFWS - Northeast Fishery Center P.O. Box 75 308 Washington Ave. Lamar, PA 16848 Phone: 570-726-4247 x 50122 Laura_Lee at fws.gov<mailto:Laura_Lee at fws.gov> ############################# [[alternative HTML version deleted]]
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