betareg: 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.

Version: 3.0-4
Depends: R (≥ 2.10.0), Formula
Imports: graphics, methods, stats, flexmix, lmtest, modeltools, sandwich
Suggests: car, lattice, party, strucchange
Published: 2013-09-16
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 <Achim.Zeileis at>
License: GPL-2
NeedsCompilation: no
Citation: betareg citation info
Materials: NEWS
In views: Econometrics, Psychometrics
CRAN checks: betareg results


Reference manual: betareg.pdf
Vignettes: Extended Beta Regression in R: Shaken, Stirred, Mixed, and Partitioned
Beta Regression in R
Package source: betareg_3.0-4.tar.gz
MacOS X binary: betareg_3.0-4.tgz
Windows binary:
Old sources: betareg archive

Reverse dependencies:

Reverse depends: Bayesianbetareg, biasbetareg, gcmr, mfx, SetMethods
Reverse imports: plsRbeta, SetMethods