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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.

copied from cf-staging / r-mclogit
Type Size Name Uploaded Downloads Labels
conda 291.5 kB | noarch/r-mclogit-0.9.6-r44hc72bb7e_2.conda  1 year and 23 days ago 1115 main
conda 290.3 kB | noarch/r-mclogit-0.9.6-r43hc72bb7e_2.conda  1 year and 23 days ago 1577 main
conda 289.7 kB | noarch/r-mclogit-0.9.6-r42hc72bb7e_1.conda  2 years and 2 months ago 2187 main
conda 289.9 kB | noarch/r-mclogit-0.9.6-r43hc72bb7e_1.conda  2 years and 2 months ago 2309 main
conda 290.4 kB | noarch/r-mclogit-0.9.6-r41hc72bb7e_0.conda  2 years and 5 months ago 2341 main
conda 289.7 kB | noarch/r-mclogit-0.9.6-r42hc72bb7e_0.conda  2 years and 5 months ago 2461 main

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