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
Author: Vinicius Mayrink ORCID iD [cre, aut], Alexandre B. Simas ORCID iD [aut], Wagner Barreto-Souza ORCID iD [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
Old sources: bbreg archive

Reverse dependencies:

Reverse suggests: mixpoissonreg

Linking:

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