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A command for fitting mixture regression models for bounded dependent variables using the beta distribution

Author

Listed:
  • Laura A. Gray

    (University of Sheffield)

  • Mónica Hernández Alava

    (University of Sheffield)

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 distri- bution. betamix accepts dependent variables defined in any range that are then transformed to the interval (0, 1) before estimation.

Suggested Citation

  • Laura A. Gray & Mónica Hernández Alava, 2018. "A command for fitting mixture regression models for bounded dependent variables using the beta distribution," Stata Journal, StataCorp LP, vol. 18(1), pages 51-75, March.
    • Handle: RePEc:tsj:stataj:v:18:y:2018:i:1:p:51-75
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    6. Barr, Ashley B. & Simons, Ronald L. & Beach, Steven R.H. & Simons, Leslie Gordon, 2022. "Racial discrimination and health among two generations of African American couples," Social Science & Medicine, Elsevier, vol. 296(C).
    7. Fan Yang & Carlos K. H. Wong & Nan Luo & James Piercy & Rebecca Moon & James Jackson, 2019. "Mapping the kidney disease quality of life 36-item short form survey (KDQOL-36) to the EQ-5D-3L and the EQ-5D-5L in patients undergoing dialysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(8), pages 1195-1206, November.

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