mclogit: Mixed conditional logit models in R
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mclogit: Mixed conditional logit models in R

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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