|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:: 18530. Submitted: 2009-06-18. Published: 2010-01-05.
The VGAM Package for Categorical Data Analysis
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.