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. (2022) <doi:10.48550/arXiv.2209.11315>.

Version: 0.3.0
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: 2022-10-28
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.pdf

Downloads:

Package source: robustbetareg_0.3.0.tar.gz
Windows binaries: r-devel: robustbetareg_0.3.0.zip, r-release: robustbetareg_0.3.0.zip, r-oldrel: robustbetareg_0.3.0.zip
macOS binaries: r-release (arm64): robustbetareg_0.3.0.tgz, r-oldrel (arm64): robustbetareg_0.3.0.tgz, r-release (x86_64): robustbetareg_0.3.0.tgz

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