A command for fitting mixture regression models for bounded dependent variables using the beta distribution
Laura A. Gray
School of Health and Related Research
Health Economics and Decision Science
University of Sheffield
Sheffield, UK
[email protected]
|
Mónica Hernández Alava
School of Health and Related Research
Health Economics and Decision Science
University of Sheffield
Sheffield, UK
[email protected]
|
Abstract. In this article, we describe the betamix command, which fits mixture
regression models for dependent variables bounded in an interval. The model is
a generalization of the truncated inflated beta regression model introduced in
Pereira, Botter, and Sandoval (2012, Communications in
Statistics—Theory and Methods 41: 907–919) and the mixture beta
regression model in Verkuilen and Smithson (2012, Journal of Educational and
Behavioral Statistics 37: 82–113) for variables with truncated
supports at either the top or the bottom of the distribution. betamix
accepts dependent variables defined in any range that are then transformed to
the interval (0, 1) before estimation.
View all articles by these authors:
Laura A. Gray, Mónica Hernández Alava
View all articles with these keywords:
betamix, truncated inflated beta mixture, beta regression, mixture model, cross-sectional data, mapping
Download citation: BibTeX RIS
Download citation and abstract: BibTeX RIS
|
