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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  4 months and 7 days ago 442 main
conda 290.3 kB | noarch/r-mclogit-0.9.6-r43hc72bb7e_2.conda  4 months and 7 days ago 729 main
conda 289.7 kB | noarch/r-mclogit-0.9.6-r42hc72bb7e_1.conda  1 year and 5 months ago 1636 main
conda 289.9 kB | noarch/r-mclogit-0.9.6-r43hc72bb7e_1.conda  1 year and 5 months ago 1794 main
conda 290.4 kB | noarch/r-mclogit-0.9.6-r41hc72bb7e_0.conda  1 year and 9 months ago 1705 main
conda 289.7 kB | noarch/r-mclogit-0.9.6-r42hc72bb7e_0.conda  1 year and 9 months ago 1954 main

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