Dear mixed modelers,

In my actual knowledge status, the best available measures to evaluate
goodness-of-fit of a mixed logistic model are Deviance, LogLikelihood, AIC,
AICc if necessary, BIC (I may forgot some of them but they are all linked).
However, these measures only permit to classify models from the best to the
worse without knowing if the best model is really efficient in explaining
the data.

It exists pseudo-R2 calculation based on differences between the likelihood
of  the intersect only model and the likelihood of the model that you wanted
to evaluate. But use of those methods are generally discouraged.

I would like your opinion about that !
If you have any suggestion I will be happy to learn from you !

Thanks for your help.

Arnaud

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