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 |
| 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:
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