doi:10.1111/anzs.12354> and Barreto-Souza, Mayrink and Simas (2020) <doi:10.48550/arXiv.2003.05157>.">

bbreg: Bessel and Beta Regressions via Expectation-Maximization Algorithm for Continuous Bounded Data (original) (raw)

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. SimasORCID iD [aut], Wagner Barreto-SouzaORCID iD [aut]
Maintainer: Vinicius Mayrink
License: GPL-2
NeedsCompilation: no
CRAN checks: bbreg results

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