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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 |
Reference manual: | bbreg.pdf |
Vignettes: |
Introduction to bbreg |
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 suggests: | mixpoissonreg |
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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.