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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  1 year and 1 month ago 993 main
conda 453.9 kB | noarch/r-mglm-0.2.1-r44hc72bb7e_3.conda  1 year and 1 month ago 941 main
conda 454.5 kB | noarch/r-mglm-0.2.1-r43hc72bb7e_2.conda  2 years and 2 months ago 1371 main
conda 443.1 kB | noarch/r-mglm-0.2.1-r42hc72bb7e_2.conda  2 years and 2 months ago 1362 main
conda 469.7 kB | noarch/r-mglm-0.2.1-r42hc72bb7e_1.tar.bz2  2 years and 10 months ago 1753 main
conda 469.3 kB | noarch/r-mglm-0.2.1-r41hc72bb7e_1.tar.bz2  2 years and 10 months ago 1754 main
conda 469.1 kB | noarch/r-mglm-0.2.1-r41hc72bb7e_0.tar.bz2  3 years and 4 months ago 2285 main
conda 470.3 kB | noarch/r-mglm-0.2.1-r40hc72bb7e_0.tar.bz2  3 years and 4 months ago 2308 main

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