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Provides functions that (1) fit multivariate discrete distributions, (2) generate random numbers from multivariate discrete distributions, and (3) run regression and penalized regression on the multivariate categorical response data. Implemented models include: multinomial logit model, Dirichlet multinomial model, generalized Dirichlet multinomial model, and negative multinomial model. Making the best of the minorization-maximization (MM) algorithm and Newton-Raphson method, we derive and implement stable and efficient algorithms to find the maximum likelihood estimates. On a multi-core machine, multi-threading is supported.

copied from cf-staging / r-mglm
Type Size Name Uploaded Downloads Labels
conda 454.8 kB | noarch/r-mglm-0.2.1-r43hc72bb7e_3.conda  8 months and 17 days ago 677 main
conda 453.9 kB | noarch/r-mglm-0.2.1-r44hc72bb7e_3.conda  8 months and 17 days ago 665 main
conda 454.5 kB | noarch/r-mglm-0.2.1-r43hc72bb7e_2.conda  1 year and 9 months ago 1095 main
conda 443.1 kB | noarch/r-mglm-0.2.1-r42hc72bb7e_2.conda  1 year and 9 months ago 1079 main
conda 469.7 kB | noarch/r-mglm-0.2.1-r42hc72bb7e_1.tar.bz2  2 years and 5 months ago 1474 main
conda 469.3 kB | noarch/r-mglm-0.2.1-r41hc72bb7e_1.tar.bz2  2 years and 5 months ago 1479 main
conda 469.1 kB | noarch/r-mglm-0.2.1-r41hc72bb7e_0.tar.bz2  2 years and 11 months ago 2013 main
conda 470.3 kB | noarch/r-mglm-0.2.1-r40hc72bb7e_0.tar.bz2  2 years and 11 months ago 2015 main

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