Beta regression for modeling beta-distributed dependent variables, e.g., rates and proportions. In addition to maximum likelihood regression (for both mean and precision of a beta-distributed response), bias-corrected and bias-reduced estimation as well as finite mixture models and recursive partitioning for beta regressions are provided.
|Author||Achim Zeileis [aut, cre] (<https://orcid.org/0000-0003-0918-3766>), Francisco Cribari-Neto [aut] (<https://orcid.org/0000-0002-5909-6698>), Bettina Gruen [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|
|Package repository||View on R-Forge|
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