Thank you for continuing to maintain this excellent package. I am interested in a cumulative logit model that allows (1) nominal effects, or violation of proportional odds assumption, and (2) nested random effects designs. As I understand it, clmm2() supports 1 but not 2, and clmm() supports 2 but not 1.
I have searched high and low but not found any acceptable frequentist implementation in R of a cumulative logit mixed model that has both nominal effects and nested or crossed random effects. I personally do not have the programming expertise to help implement this, but I was curious whether it is something that would be possible to implement in a future release. Thanks again!
Thank you for continuing to maintain this excellent package. I am interested in a cumulative logit model that allows (1) nominal effects, or violation of proportional odds assumption, and (2) nested random effects designs. As I understand it,
clmm2()supports 1 but not 2, andclmm()supports 2 but not 1.I have searched high and low but not found any acceptable frequentist implementation in R of a cumulative logit mixed model that has both nominal effects and nested or crossed random effects. I personally do not have the programming expertise to help implement this, but I was curious whether it is something that would be possible to implement in a future release. Thanks again!