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 minorizationmaximization (MM) algorithm and NewtonRaphson method, we derive and implement stable and efficient algorithms to find the maximum likelihood estimates. On a multicore machine, multithreading is supported.
Package details 


Author  Yiwen Zhang <[email protected]> and Hua Zhou <[email protected]> 
Date of publication  20170327 15:21:50 UTC 
Maintainer  Yiwen Zhang <[email protected]> 
License  GPL (>= 2) 
Version  0.0.8 
Package repository  View on CRAN 
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