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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  3 years and 6 months ago 1947 main
conda 468.7 kB | noarch/r-mglm-0.2.0-r40hc72bb7e_2.tar.bz2  3 years and 6 months ago 1970 main
conda 468.2 kB | noarch/r-mglm-0.2.0-r40h6115d3f_2.tar.bz2  4 years and 7 months ago 2770 main
conda 409.0 kB | noarch/r-mglm-0.2.0-r36h6115d3f_2.tar.bz2  4 years and 7 months ago 2787 main
conda 407.6 kB | noarch/r-mglm-0.2.0-r35h6115d3f_1.tar.bz2  5 years and 4 months ago 3593 main cf202003
conda 409.6 kB | noarch/r-mglm-0.2.0-r36h6115d3f_1.tar.bz2  5 years and 4 months ago 3634 main cf202003
conda 407.8 kB | noarch/r-mglm-0.2.0-r351h6115d3f_0.tar.bz2  5 years and 5 months ago 3608 main cf202003

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