betareg (2.4-1)

Beta Regression.

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.

Maintainer: Achim Zeileis
Author(s): 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)

License: GPL-2

Uses: flexmix, Formula, lmtest, modeltools, sandwich, car, flexmix, lattice, lmtest, modeltools, party, sandwich, strucchange
Reverse depends: biasbetareg, gcmr, mfx, SetMethods
Reverse suggests: agridat, AICcmodavg, betaboost, broom, DeclareDesign, DirichletReg, effects, ggeffects, insight, mi, MRIaggr, plsRbeta, rstanarm
Reverse enhances: margins, MuMIn, prediction, stargazer, texreg

Released about 7 years ago.