The VGAM Package for Categorical Data Analysis

Thomas W. Yee

Journal of Statistical Software, 2010, vol. 032, issue i10

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.

Date: 2010-01-05
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Citations: View citations in EconPapers (61)

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Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:032:i10

DOI: 10.18637/jss.v032.i10

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