This packages provides estimators for multinomial logit models in their conditional logit (for discrete choices) and baseline logit variants (for categorical responses), optionally with overdispersion or random effects. 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.
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mclogit: Multinomial Logit Models, with or without Random Effects or Overdispersion
melff/mclogit
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mclogit: Multinomial Logit Models, with or without Random Effects or Overdispersion
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