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 the reference Barreto-Souza, Mayrink and Simas (2020) <arXiv:2003.05157> for details.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: betareg, Formula, expint, statmod
Published: 2020-03-20
Author: Vinicius Mayrink [aut, cre], Wagner Barreto-Souza [aut], Alexandre Simas [aut]
Maintainer: Vinicius Mayrink <vdinizm at gmail.com>
License: GPL-2
NeedsCompilation: no
Citation: bbreg citation info
CRAN checks: bbreg results

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Reference manual: bbreg.pdf
Package source: bbreg_1.0.0.tar.gz
Windows binaries: r-prerelease: bbreg_1.0.0.zip, r-release: bbreg_1.0.0.zip, r-oldrel: bbreg_1.0.0.zip
macOS binaries: r-prerelease: bbreg_1.0.0.tgz, r-release: bbreg_1.0.0.tgz, r-oldrel: bbreg_1.0.0.tgz

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