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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 1 month ago 1128 main
conda 290.3 kB | noarch/r-mclogit-0.9.6-r43hc72bb7e_2.conda  1 year and 1 month ago 1591 main
conda 289.7 kB | noarch/r-mclogit-0.9.6-r42hc72bb7e_1.conda  2 years and 2 months ago 2198 main
conda 289.9 kB | noarch/r-mclogit-0.9.6-r43hc72bb7e_1.conda  2 years and 2 months ago 2322 main
conda 290.4 kB | noarch/r-mclogit-0.9.6-r41hc72bb7e_0.conda  2 years and 5 months ago 2355 main
conda 289.7 kB | noarch/r-mclogit-0.9.6-r42hc72bb7e_0.conda  2 years and 5 months ago 2475 main

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