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Unpublished Paper
Using R to Create Synthetic Discrete Response Regression Models
(2011)
Abstract
The creation of synthetic models allows a researcher to better understand models as well as the bias that can occur when the assumptions upon which a model is based is violated. This article provides R code that can be used or amended to create a variety of discrete response regression models.
Keywords
- synthetic,
- pseudorandom,
- logistic,
- probit,
- Poisson,
- NB1,
- NB2,
- NB-C,
- proportional odds,
- multinomial
Disciplines
Publication Date
July 3, 2011
Citation Information
Joseph Hilbe. "Using R to Create Synthetic Discrete Response Regression Models" (2011) Available at: http://works.bepress.com/joseph_hilbe/3/