robustbetareg: Robust Beta Regression

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>.

Version:	0.3.1
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)
Published:	2025-07-24
DOI:	10.32614/CRAN.package.robustbetareg
Author:	Felipe Queiroz [aut, cre], Yuri Maluf [aut], Silvia Ferrari [ctb]
Maintainer:	Felipe Queiroz <ffelipeq at outlook.com>
License:	GPL-3
NeedsCompilation:	no
Materials:	README
CRAN checks:	robustbetareg results

Documentation:

Reference manual:

robustbetareg.html , robustbetareg.pdf

Downloads:

Package source:	robustbetareg_0.3.1.tar.gz
Windows binaries:	r-devel: robustbetareg_0.3.1.zip, r-release: robustbetareg_0.3.1.zip, r-oldrel: robustbetareg_0.3.1.zip
macOS binaries:	r-release (arm64): robustbetareg_0.3.1.tgz, r-oldrel (arm64): robustbetareg_0.3.1.tgz, r-release (x86_64): robustbetareg_0.3.1.tgz, r-oldrel (x86_64): robustbetareg_0.3.1.tgz
Old sources:	robustbetareg archive

Linking:

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