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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 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, r-oldrel (x86_64): bbreg_2.0.2.tgz
Old sources: bbreg archive

Reverse dependencies:

Reverse suggests: mixpoissonreg

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bbreg to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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