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, see Kosmidis and Zeileis (2025) <doi:10.1093/jrsssc/qlaf039>.
  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: | 3.2-4 | 
| 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: | 2025-08-19 | 
| 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, brms, brmsmargins, broom, broom.helpers, clarify, cobin, 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 | 
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