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], Francisco Cribari-Neto [aut], Bettina Gruen [aut], Ioannis Kosmidis [aut], Alexandre B. Simas [ctb] (earlier version by), Andrea V. Rocha [ctb] (earlier version by)|
|Maintainer||Achim Zeileis <[email protected]>|
|License||GPL-2 | GPL-3|
|Package repository||View on CRAN|
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