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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 29 days ago 1126 main
conda 290.3 kB | noarch/r-mclogit-0.9.6-r43hc72bb7e_2.conda  1 year and 29 days ago 1589 main
conda 289.7 kB | noarch/r-mclogit-0.9.6-r42hc72bb7e_1.conda  2 years and 2 months ago 2197 main
conda 289.9 kB | noarch/r-mclogit-0.9.6-r43hc72bb7e_1.conda  2 years and 2 months ago 2319 main
conda 290.4 kB | noarch/r-mclogit-0.9.6-r41hc72bb7e_0.conda  2 years and 5 months ago 2353 main
conda 289.7 kB | noarch/r-mclogit-0.9.6-r42hc72bb7e_0.conda  2 years and 5 months ago 2473 main

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