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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 28 days ago 696 main
conda 453.9 kB | noarch/r-mglm-0.2.1-r44hc72bb7e_3.conda  8 months and 28 days ago 684 main
conda 454.5 kB | noarch/r-mglm-0.2.1-r43hc72bb7e_2.conda  1 year and 9 months ago 1110 main
conda 443.1 kB | noarch/r-mglm-0.2.1-r42hc72bb7e_2.conda  1 year and 9 months ago 1098 main
conda 469.7 kB | noarch/r-mglm-0.2.1-r42hc72bb7e_1.tar.bz2  2 years and 5 months ago 1491 main
conda 469.3 kB | noarch/r-mglm-0.2.1-r41hc72bb7e_1.tar.bz2  2 years and 5 months ago 1495 main
conda 469.1 kB | noarch/r-mglm-0.2.1-r41hc72bb7e_0.tar.bz2  2 years and 11 months ago 2028 main
conda 470.3 kB | noarch/r-mglm-0.2.1-r40hc72bb7e_0.tar.bz2  2 years and 11 months ago 2030 main

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