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:	3.2-1
Depends:	R (≥ 3.6.0)
Imports:	graphics, grDevices, methods, stats, flexmix, Formula, lmtest, modeltools, sandwich
Suggests:	car, distributions3 (≥ 0.2.1), knitr, lattice, numDeriv, partykit, quarto, statmod, strucchange
Published:	2024-09-12
DOI:	10.32614/CRAN.package.betareg
Author:	Achim Zeileis [aut, cre], Francisco Cribari-Neto [aut], Bettina Grün [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>
BugReports:	https://topmodels.R-Forge.R-project.org/betareg/contact.html
License:	GPL-2 | GPL-3
URL:	https://topmodels.R-Forge.R-project.org/betareg/
NeedsCompilation:	yes
Citation:	betareg citation info
Materials:	README 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 (source, R code) Beta Regression in R (source, R code)

Downloads:

Package source:	betareg_3.2-1.tar.gz
Windows binaries:	r-devel: betareg_3.2-1.zip, r-release: betareg_3.2-1.zip, r-oldrel: betareg_3.2-0.zip
macOS binaries:	r-release (arm64): betareg_3.2-1.tgz, r-oldrel (arm64): betareg_3.2-1.tgz, r-release (x86_64): betareg_3.2-1.tgz, r-oldrel (x86_64): betareg_3.2-1.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, svycdiff
Reverse suggests:	agridat, AICcmodavg, bayestestR, brmsmargins, broom, broom.helpers, clarify, DeclareDesign, dominanceanalysis, effects, ggeffects, ggstats, glmertree, insight, marginaleffects, MarginalMediation, mi, modelsummary, parameters, performance, rstanarm, RVAideMemoire, scITD, tidybulk, WeightedCluster, ZIBR
Reverse enhances:	enrichwith, margins, MuMIn, prediction, stargazer, texreg

Linking:

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