# How can I compare robust linear mixed models and get the p-values, F statistic, AIC and BIC?

I need to fit a linear mixed model but my dependent variable is has some outliers that I can't discard. Then I used the rlmer() function (robustlmm package).

All this works fine. Nevertheless, I'm trying to compare several models and I need to get the p-values. AICc, BIC and the F-values. Is there any function that does this?