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, see Kosmidis and Zeileis (2024) <doi:10.48550/arXiv.2409.07233>. 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: 3.2-3 Depends: R (≥ 3.6.0) Imports: graphics, grDevices, methods, stats, flexmix, Formula, lmtest, modeltools, sandwich Suggests: bamlss, car, distributions3 (≥ 0.2.1), knitr, lattice, numDeriv, partykit, quarto, statmod, strucchange Published: 2025-05-10 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: Downloads: Reverse dependencies: Reverse depends: mfx, robustbetareg Reverse imports: betaBayes, BetaPASS, BiSeq, distreg.vis, DMRcaller, earlygating, ecoCopula, gcmr, ib, MarZIC, mecoturn, MedZIsc, opticut, PASSED, plsRbeta, SetMethods, StepBeta, svycdiff Reverse suggests: agridat, AICcmodavg, bayestestR, brmsmargins, broom, broom.helpers, clarify, DeclareDesign, dominanceanalysis, effects, ggeffects, ggstats, gkwreg, glmertree, insight, marginaleffects, MarginalMediation, mi, modelbased, modelsummary, parameters, performance, rstanarm, RVAideMemoire, scITD, tidybulk, WeightedCluster, ZIBR Reverse enhances: enrichwith, margins, MuMIn, prediction, stargazer, texreg Linking:Please use the canonical form https://CRAN.R-project.org/package=betareg to link to this page.
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