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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 |
| 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:
Downloads:
Reverse dependencies:
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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.
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