Multivariate response generalized linear models

Description

The package 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.

Details

Package: MGLM
Type: Package
Version: 0.0.7
Date: 2016-02-01
License: GPL (>= 2)
Depends: R (>= 1.15.0), methods, stats, parallel

Author(s)

Yiwen Zhang and Hua Zhou


Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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