betareg: Beta Regression

Beta regression for modeling beta-distributed dependent variables on the open unit interval (0, 1), e.g., rates and proportions, see Cribari-Neto and Zeileis (2010) <doi:10.18637/jss.v034.i02>. Moreover, extended-support beta regression models can accommodate dependent variables with boundary observations at 0 and/or 1. For the classical beta regression model, alternative specifications are provided: Bias-corrected and bias-reduced estimation, finite mixture models, and recursive partitioning for beta regression, see Grün, Kosmidis, and Zeileis (2012) <doi:10.18637/jss.v048.i11>.

Version: 3.2-0
Depends: R (≥ 3.6.0)
Imports: graphics, grDevices, methods, stats, flexmix, Formula, lmtest, modeltools, sandwich
Suggests: car, distributions3 (≥ 0.2.1), lattice, numDeriv, partykit, statmod, strucchange
Published: 2024-07-07
DOI: 10.32614/CRAN.package.betareg
Author: Achim Zeileis ORCID iD [aut, cre], Francisco Cribari-Neto ORCID iD [aut], Bettina Grün ORCID iD [aut], Ioannis Kosmidis ORCID iD [aut], Alexandre B. Simas [ctb] (earlier version by), Andrea V. Rocha [ctb] (earlier version by)
Maintainer: Achim Zeileis <Achim.Zeileis at>
License: GPL-2 | GPL-3
NeedsCompilation: yes
Citation: betareg citation info
Materials: README 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_3.2-0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): betareg_3.2-0.tgz, r-oldrel (arm64): betareg_3.2-0.tgz, r-release (x86_64): betareg_3.2-0.tgz, r-oldrel (x86_64): betareg_3.2-0.tgz
Old sources: betareg archive

Reverse dependencies:

Reverse depends: mfx, robustbetareg
Reverse imports: betaBayes, BetaPASS, BiSeq, distreg.vis, DMRcaller, earlygating, ecoCopula, gcmr, ib, MarZIC, mecoturn, opticut, PASSED, plsRbeta, SetMethods, StepBeta
Reverse suggests: agridat, AICcmodavg, brmsmargins, broom, broom.helpers, clarify, DeclareDesign, dominanceanalysis, effects, ggeffects, ggstats, glmertree, insight, marginaleffects, MarginalMediation, mi, modelsummary, parameters, pareg, performance, rstanarm, RVAideMemoire, scITD, tidybulk, ZIBR
Reverse enhances: enrichwith, margins, MuMIn, prediction, stargazer, texreg


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