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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: 3.1-4
Depends: R (≥ 3.0.0)
Imports: graphics, grDevices, methods, stats, flexmix, Formula, lmtest, modeltools, sandwich
Suggests: car, lattice, partykit, strucchange
Published: 2021-02-09
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 R-project.org>
License: GPL-2 | GPL-3
NeedsCompilation: no
Citation: betareg citation info
Materials: NEWS
In views: Econometrics, Psychometrics
CRAN checks: betareg results

Documentation:

Reference manual: betareg.pdf
Vignettes: Extended Beta Regression in R: Shaken, Stirred, Mixed, and Partitioned
Beta Regression in R

Downloads:

Package source: betareg_3.1-4.tar.gz
Windows binaries: r-devel: betareg_3.1-4.zip, r-release: betareg_3.1-4.zip, r-oldrel: betareg_3.1-4.zip
macOS binaries: r-release (arm64): betareg_3.1-4.tgz, r-oldrel (arm64): betareg_3.1-4.tgz, r-release (x86_64): betareg_3.1-4.tgz, r-oldrel (x86_64): betareg_3.1-4.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, MuMIn, prediction, stargazer, texreg

Linking:

Please use the canonical form https://CRAN.R-project.org/package=betareg to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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