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mclogit: Multinomial Logit Models for Categorical Responses and Discrete Choices

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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

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