Current Volume | Browse | Search | RSSHome | Instructions for Authors | JSS Style Guide | Editorial Board

Authors: Thomas W. Yee
Title: [download]
(11581)
The VGAM Package for Categorical Data Analysis
Reference: Vol. 32, Issue 10, Jan 2010
Submitted 2009-06-18, Accepted 2009-10-19
Type: Article
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.

Paper: [download]
(11581)
The VGAM Package for Categorical Data Analysis
(application/pdf, 2.9 MB)
Supplements: [download]
(1212)
VGAM_0.7-10.tar.gz: R source package
(application/x-gzip, 1.5 MB)
[download]
(1345)
v32i10.R: R example code from the paper
(application/octet-stream, 11.6 KB)
Resources: BibTeX | OAI
Creative Commons License
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)
Current Volume | Browse | Search | RSSHome | Instructions for Authors | JSS Style Guide | Editorial Board