mclogit: Multinomial Logit Models, with or without Random Effects or Overdispersion

This packages 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.

Releases will be published on CRAN. Pre-releases will be available here in source and binary form. To install from the sources on GitHub you can use devtools::install_github("melff/mclogit",subdir="pkg").

More information about the package can be found at my site