How to do validation for calibrated multinomial logit model and glmer(generalized linear mixed effect) model using new data in R?


Once I have an estimated or calibrated multinomial logit and glmer models, I need to see how the model is strong in its prediction capabilities by observing and checking the whole capacity of calibrated model. How can I measure or handle it using new data in R? what kind of packages will be employed in R to see the prediction probabilities, standard errors, residuals....etc?

Any help is appreciated.

Thank you.


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