[cre, aut],
Alexandre B. Simas
[aut],
Wagner Barreto-Souza
[aut]Functions to fit, via Expectation-Maximization (EM) algorithm, the Bessel and Beta regressions to a data set with a bounded continuous response variable. The Bessel regression is a new and robust approach proposed in the literature. The EM version for the well known Beta regression is another major contribution of this package. See the reference Barreto-Souza, Mayrink and Simas (2020) <arXiv:2003.05157> for details.
| Version: | 2.0.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | pbapply, Formula, expint, statmod |
| Suggests: | rmarkdown, knitr |
| Published: | 2020-11-30 |
| Author: | Vinicius Mayrink
[cre, aut],
Alexandre B. Simas
[aut],
Wagner Barreto-Souza
[aut] |
| Maintainer: | Vinicius Mayrink <vdinizm at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | bbreg results |
| Reference manual: | bbreg.pdf |
| Vignettes: |
Introduction to bbreg |
| Package source: | bbreg_2.0.1.tar.gz |
| Windows binaries: | r-devel: bbreg_2.0.1.zip, r-release: bbreg_2.0.1.zip, r-oldrel: bbreg_2.0.1.zip |
| macOS binaries: | r-release: bbreg_2.0.1.tgz, r-oldrel: bbreg_2.0.1.tgz |
| Old sources: | bbreg archive |
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