Dear users, I kindly ask for your guidance regarding my following problem:

I am conducting a multinomial logistic regression using mlogit and since I have a complex sample, I am also using the svy command to adjust the standard errors. I would like to test the assumptions for the multinomial logistic regression and therefore I would like to check out the residuals for any extreme values. Do you have an idea how I could it? For logit I can use the command "predict" after the logistic regression, but this command does not work for mlogit or svy.

I have read that you can also check values of cooks distance or DF beta to find extreme values, but I do not know how to calculate them after mlogit and svy either.

I would really appreciate any advice!

Kind regards,
Maria