Dear All,
I am fitting a model for a binary response variable measured repeatedly at
multiple visits. I am using the binomial GLMM using the glmer() function in
lme4 package. How can I evaluate the model assumptions (e.g., residual
diagnostics, adequacy of random effects distribution) for a binomial GLMM? Are
there any standard checks that are commonly done? Are there any pedagogical
examples or data sets where model assumptions have been examined for binomial
GLMMs?
Any suggestions/guidance is appreciated.
Thank you,
Ravi
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