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.