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 |
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