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 <Achim.Zeileis at R-project.org>

Author(s): Achim Zeileis*, Francisco Cribari-Neto*, Bettina Gruen*, Ioannis Kosmidis*, Alexandre B. Simas* (earlier version by), Andrea V. Rocha* (earlier version by)

Install package and any missing dependencies by running this line in your R console:

install.packages("betareg")

Depends R (>= 3.0.0)
Imports graphics, grDevices, methods, stats, flexmix, Formula, lmtest, modeltools, sandwich
Suggests car, lattice, partykit, strucchange
Enhances
Linking to
Reverse
depends
Bayesianbetareg, biasbetareg, mfx, SetMethods
Reverse
imports
gcmr, opticut, plsRbeta, vortexR
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suggests
agridat, AICcmodavg, broom, mi, rstanarm
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enhances
MuMIn, prediction, stargazer, texreg
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linking to

Package betareg
Materials
URL
Task Views Econometrics , Psychometrics , SocialSciences
Version 3.1-0
Published 2016-08-06
License GPL-2 | GPL-3
BugReports
SystemRequirements
NeedsCompilation no
Citation
CRAN checks betareg check results
Package source betareg_3.1-0.tar.gz