bbreg: Bessel and Beta Regressions via Expectation-Maximization Algorithm for Continuous Bounded Data
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 details in the references Barreto-Souza, Mayrink and Simas (2022) <doi:10.1111/anzs.12354> and Barreto-Souza, Mayrink and Simas (2020) <doi:10.48550/arXiv.2003.05157>.
| Version: | 2.0.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | pbapply, Formula, expint, statmod |
| Suggests: | rmarkdown, knitr |
| Published: | 2022-02-14 |
| DOI: | 10.32614/CRAN.package.bbreg |
| 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 |
Documentation:
| Reference manual: | bbreg.pdf |
| Vignettes: |
Introduction to bbreg |
Downloads:
| Package source: | bbreg_2.0.2.tar.gz |
| Windows binaries: | r-devel: bbreg_2.0.2.zip, r-release: bbreg_2.0.2.zip, r-oldrel: bbreg_2.0.2.zip |
| macOS binaries: | r-release (arm64): bbreg_2.0.2.tgz, r-oldrel (arm64): bbreg_2.0.2.tgz, r-release (x86_64): bbreg_2.0.2.tgz, r-oldrel (x86_64): bbreg_2.0.2.tgz |
| Old sources: | bbreg archive |
Reverse dependencies:
| Reverse suggests: | mixpoissonreg |
Linking:
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