I am currently trying to estimate a ordinal logistic regression model with hierarchical data in R (my dependent variable has three categories and the data stems from the 50 U.S. states; I just need random intercepts, no random slopes, but I also have a cross-level interaction). In Stata I would use the "meologit" command but I can't find an equivalent in R. Is there a command that allows me to calculate such a model? I have already read about clmm and clmm2 in the ordinal package and about mixor but as far as I understood there is no multilevel-option for those. Alternatively, I have tried lmer but I don't think I can specify that I want to calculate an ordinal logistic regression model there.
Does anyone have any advice for me?
Thank you very much and have a nice week, R.Van