predict function for a glmm

A few choices:

 if you use predict(..., type="response") you will get predicted
probabilities for each element.  You can use any of the standard methods
for scoring the accuracy of a binomial model (e.g. pick a cutoff value,
most typically 0.5, for making predictions and count the number of
correct/incorrect predictions, *or* use area under the curve).

 For example,

ModelMatrix::auc.default(response_var, predict(fit, type="response"))

ought to do the trick.

predict function for a glmm

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