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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 16 days ago 1102 main
conda 290.3 kB | noarch/r-mclogit-0.9.6-r43hc72bb7e_2.conda  1 year and 16 days ago 1565 main
conda 289.7 kB | noarch/r-mclogit-0.9.6-r42hc72bb7e_1.conda  2 years and 1 month ago 2177 main
conda 289.9 kB | noarch/r-mclogit-0.9.6-r43hc72bb7e_1.conda  2 years and 1 month ago 2296 main
conda 290.4 kB | noarch/r-mclogit-0.9.6-r41hc72bb7e_0.conda  2 years and 5 months ago 2330 main
conda 289.7 kB | noarch/r-mclogit-0.9.6-r42hc72bb7e_0.conda  2 years and 5 months ago 2449 main

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