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:: 20406. Submitted: 2009-06-18. Published: 2010-01-05. |
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Paper: |
The VGAM Package for Categorical Data Analysis
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DOI: |
10.18637/jss.v032.i10
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![]() 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. |