bbreg
2.0.2Bessel and Beta Regressions via Expectation-Maximization Algorithm for Continuous Bounded Data
Overview
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.
Install
Health
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- NOTE2026-03-100 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 53%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 15%
Downloads
Dependencies
Code & Tests
Datasets
People & History
4 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 2.0.2Latest
- RR 4.1.0 released · 2021-05-18
- 2.0.12020-11-30 · diff ↗
- 2.0.02020-11-30 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.0.02020-03-20
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2020-03-20
- Total releases
- 4 / 6 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 9.3 KB / 3 files
- Download size
- 123 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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