mclogit: Mixed conditional logit models in R
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README.md

mclogit: Mixed conditional logit models in R

CRAN Total downloads from RStudio CRAN mirror Current release on GitHub Build Status

This packages provides allows to estimate conditional logit models of binary responses and multinomial counts, with or without alternative-specific random effects (random intercepts only, no random slopes yet). The current implementation of the estimator for random effects variants of the model uses a Laplace approximation (or PQL) approach and thus should be used only if groups sizes are large.

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