TheVGAMPackage 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...
Paper Details
Title
TheVGAMPackage for Categorical Data Analysis
Published Date
Jan 1, 2010
Volume
32
Issue
10
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