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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  7 months and 27 days ago 639 main
conda 453.9 kB | noarch/r-mglm-0.2.1-r44hc72bb7e_3.conda  7 months and 27 days ago 626 main
conda 454.5 kB | noarch/r-mglm-0.2.1-r43hc72bb7e_2.conda  1 year and 8 months ago 1066 main
conda 443.1 kB | noarch/r-mglm-0.2.1-r42hc72bb7e_2.conda  1 year and 8 months ago 1045 main
conda 469.7 kB | noarch/r-mglm-0.2.1-r42hc72bb7e_1.tar.bz2  2 years and 4 months ago 1440 main
conda 469.3 kB | noarch/r-mglm-0.2.1-r41hc72bb7e_1.tar.bz2  2 years and 4 months ago 1442 main
conda 469.1 kB | noarch/r-mglm-0.2.1-r41hc72bb7e_0.tar.bz2  2 years and 10 months ago 1979 main
conda 470.3 kB | noarch/r-mglm-0.2.1-r40hc72bb7e_0.tar.bz2  2 years and 10 months ago 1980 main

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