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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 9 months ago 2111 main
conda 468.7 kB | noarch/r-mglm-0.2.0-r40hc72bb7e_2.tar.bz2  3 years and 9 months ago 2128 main
conda 468.2 kB | noarch/r-mglm-0.2.0-r40h6115d3f_2.tar.bz2  4 years and 10 months ago 2938 main
conda 409.0 kB | noarch/r-mglm-0.2.0-r36h6115d3f_2.tar.bz2  4 years and 10 months ago 2946 main
conda 407.6 kB | noarch/r-mglm-0.2.0-r35h6115d3f_1.tar.bz2  5 years and 7 months ago 3749 main cf202003
conda 409.6 kB | noarch/r-mglm-0.2.0-r36h6115d3f_1.tar.bz2  5 years and 7 months ago 3785 main cf202003
conda 407.8 kB | noarch/r-mglm-0.2.0-r351h6115d3f_0.tar.bz2  5 years and 8 months ago 3765 main cf202003

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