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CRAN: Package mclogit

mclogit: 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.

Documentation: Downloads: Reverse dependencies: Reverse imports: abn, EQUALSTATS, projpred, vecmatch Reverse suggests: ggeffects, insight, marginaleffects, parameters, performance, see, WeightIt Reverse enhances: prediction, stargazer Linking:

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