r-cran-mclogit - 0.9.6-2 main

Multinomial Logit Models, with or without Random Effects or
Overdispersion Provides estimators for multinomial logit models in their
conditional logit and baseline logit variants, with or without random
effects, with or without overdispersion. Random effects models are
estimated using the PQL technique (based on a Laplace approximation) or
the MQL technique (based on a Solomon- Cox approximation). Estimates
should be treated with caution if the group sizes are small.