Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina GrĂ¼n, Edzer Pebesma & Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
The VGAM Package for Categorical Data Analysis | Yee | Journal of Statistical Software
Authors: Thomas W. Yee
Title: The VGAM Package for Categorical Data Analysis
Abstract: Classical categorical regression models such as the multinomial logit and proportional odds models are shown to be readily handled by the vector generalized linear and additive model (VGLM/VGAM) framework. Additionally, there are natural extensions, such as reduced-rank VGLMs for dimension reduction, and allowing covariates that have values specific to each linear/additive predictor, e.g., for consumer choice modeling. This article describes some of the framework behind the VGAM R package, its usage and implementation details.

Page views:: 15462. Submitted: 2009-06-18. Published: 2010-01-05.
Paper: The VGAM Package for Categorical Data Analysis     Download PDF (Downloads: 15561)
VGAM_0.7-10.tar.gz: R source package Download (Downloads: 1374; 1MB)
v32i10.R: R example code from the paper Download (Downloads: 1539; 11KB)

DOI: 10.18637/jss.v032.i10

This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.