文章基本信息

标题：MGLM: An R Package for Multivariate Categorical Data Analysis
本地全文：下载
作者：Juhyun Kim ; Yiwen Zhang ; Joshua Day 等
期刊名称：R News
印刷版ISSN：1609-3631
出版年度：2018
卷号：10
期号：1
页码：73-90
语种：English
出版社：The R Foundation for Statistical Computing
摘要：Data with multiple responses is ubiquitous in modern applications. However, few tools are available for regression analysis of multivariate counts. The most popular multinomial-logit model has a very restrictive mean-variance structure, limiting its applicability to many data sets. This article introduces an R package MGLM, short for multivariate response generalized linear models, that expands the current tools for regression analysis of polytomous data. Distribution fitting, random number generation, regression, and sparse regression are treated in a unifying framework. The algorithm, usage, and implementation details are discussed.