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The Stata Journal
Volume 18 Number 1: pp. 51-75



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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
laura.gray@sheffield.ac.uk
Mónica Hernández Alava
School of Health and Related Research
Health Economics and Decision Science
University of Sheffield
Sheffield, UK
monica.hernandez@sheffield.ac.uk
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.
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View all articles with these keywords: betamix, truncated inflated beta mixture, beta regression, mixture model, cross-sectional data, mapping

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