R/MGLM-package.R

#' @name MGLM-package
#' @title MGLM: A package for 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 \tabular{ll}{
#' Package: \tab MGLM\cr
#' Type: \tab Package\cr
#' Version: \tab 0.0.9\cr
#' Date: \tab 2017-12-14\cr
#' License: \tab  GPL (>= 2)\cr
#' Depends: \tab R (>= 3.0.0), methods, stats, parallel \cr
#' }
#' @author Yiwen Zhang and Hua Zhou
#' @import methods parallel stats 
#' @docType package
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MGLM documentation built on May 2, 2019, 1:38 p.m.