Robust Beta Regression R package robustbetareg version 0.3.1 Robust estimators for the beta regression, useful for modeling bounded continuous data. Currently, four types of robust estimators are supported. They depend on a tuning constant which may be fixed or selected by a data-driven algorithm also implemented in the package. Diagnostic tools associated with the fitted model, such as the residuals and goodness-of-fit statistics, are implemented. Robust Wald-type tests are available. More details about robust beta regression are described in Maluf et al. (2025) <doi:10.1007/s00184-024-00949-1>. Software Depends: R (>= 3.5.0), betareg Imports: Rmpfr, rstudioapi, crayon, pracma, numDeriv, Formula, robustbase, zoo, methods, graphics, BBmisc, MASS, miscTools, Matrix Suggests: covr, testthat (>= 3.0.0) Felipe Queiroz <ffelipeq@outlook.com> Comprehensive R Archive Network (CRAN) Felipe Queiroz [aut, cre], Yuri Maluf [aut], Silvia Ferrari [ctb] GPL-3 2025-07-24 application/tgz https://CRAN.R-project.org/package=robustbetareg doi:10.32614/CRAN.package.robustbetareg