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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 469.5 kB | noarch/r-mglm-0.2.0-r41hc72bb7e_2.tar.bz2  4 years and 2 months ago 2421 main
conda 468.7 kB | noarch/r-mglm-0.2.0-r40hc72bb7e_2.tar.bz2  4 years and 2 months ago 2420 main
conda 468.2 kB | noarch/r-mglm-0.2.0-r40h6115d3f_2.tar.bz2  5 years and 3 months ago 3230 main
conda 409.0 kB | noarch/r-mglm-0.2.0-r36h6115d3f_2.tar.bz2  5 years and 3 months ago 3247 main
conda 407.6 kB | noarch/r-mglm-0.2.0-r35h6115d3f_1.tar.bz2  6 years and 26 days ago 4037 main cf202003
conda 409.6 kB | noarch/r-mglm-0.2.0-r36h6115d3f_1.tar.bz2  6 years and 26 days ago 4077 main cf202003
conda 407.8 kB | noarch/r-mglm-0.2.0-r351h6115d3f_0.tar.bz2  6 years and 1 month ago 4051 main cf202003

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