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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