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.html , bbreg.pdf
Vignettes:	Introduction to bbreg (source, R code)

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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