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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) <arXiv:2003.05157>.

Versions across snapshots

VersionRepositoryFileSize
2.0.2 rolling linux/jammy R-4.5 bbreg_2.0.2.tar.gz 284.0 KiB
2.0.2 rolling linux/noble R-4.5 bbreg_2.0.2.tar.gz 283.6 KiB
2.0.2 rolling source/ R- bbreg_2.0.2.tar.gz 123.6 KiB
2.0.2 latest linux/jammy R-4.5 bbreg_2.0.2.tar.gz 284.0 KiB
2.0.2 latest linux/noble R-4.5 bbreg_2.0.2.tar.gz 283.6 KiB
2.0.2 latest source/ R- bbreg_2.0.2.tar.gz 123.6 KiB
2.0.2 2026-04-26 source/ R- bbreg_2.0.2.tar.gz 123.6 KiB
2.0.2 2026-04-23 source/ R- bbreg_2.0.2.tar.gz 123.6 KiB
2.0.2 2026-04-09 windows/windows R-4.5 bbreg_2.0.2.zip 286.2 KiB
2.0.2 2025-04-20 source/ R- bbreg_2.0.2.tar.gz 123.6 KiB

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