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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 990 main
conda 453.9 kB | noarch/r-mglm-0.2.1-r44hc72bb7e_3.conda  1 year and 1 month ago 938 main
conda 454.5 kB | noarch/r-mglm-0.2.1-r43hc72bb7e_2.conda  2 years and 1 month ago 1369 main
conda 443.1 kB | noarch/r-mglm-0.2.1-r42hc72bb7e_2.conda  2 years and 1 month ago 1360 main
conda 469.7 kB | noarch/r-mglm-0.2.1-r42hc72bb7e_1.tar.bz2  2 years and 10 months ago 1750 main
conda 469.3 kB | noarch/r-mglm-0.2.1-r41hc72bb7e_1.tar.bz2  2 years and 10 months ago 1751 main
conda 469.1 kB | noarch/r-mglm-0.2.1-r41hc72bb7e_0.tar.bz2  3 years and 4 months ago 2283 main
conda 470.3 kB | noarch/r-mglm-0.2.1-r40hc72bb7e_0.tar.bz2  3 years and 4 months ago 2305 main

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