Beta regression for modeling beta-distributed dependent variables on the open unit interval (0, 1), e.g., rates and proportions, see Cribari-Neto and Zeileis (2010) <doi:10.18637/jss.v034.i02>. Moreover, extended-support beta regression models can accommodate dependent variables with boundary observations at 0 and/or 1. For the classical beta regression model, alternative specifications are provided: Bias-corrected and bias-reduced estimation, finite mixture models, and recursive partitioning for beta regression, see Grün, Kosmidis, and Zeileis (2012) <doi:10.18637/jss.v048.i11>.
Package details |
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Author | Achim Zeileis [aut, cre] (<https://orcid.org/0000-0003-0918-3766>), Francisco Cribari-Neto [aut] (<https://orcid.org/0000-0002-5909-6698>), Bettina Grün [aut] (<https://orcid.org/0000-0001-7265-4773>), Ioannis Kosmidis [aut] (<https://orcid.org/0000-0003-1556-0302>), Alexandre B. Simas [ctb] (earlier version by), Andrea V. Rocha [ctb] (earlier version by) |
Maintainer | Achim Zeileis <Achim.Zeileis@R-project.org> |
License | GPL-2 | GPL-3 |
Version | 3.2-1 |
URL | https://topmodels.R-Forge.R-project.org/betareg/ |
Package repository | View on CRAN |
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