Power Logit Regression for Modeling Bounded Data
Overview
Power logit regression models for bounded continuous data, in which the density generator may be normal, Student-t, power exponential, slash, hyperbolic, sinh-normal, or type II logistic. Diagnostic tools associated with the fitted model, such as the residuals, local influence measures, leverage measures, and goodness-of-fit statistics, are implemented. The estimation process follows the maximum likelihood approach and, currently, the package supports two types of estimators: the usual maximum likelihood estimator and the penalized maximum likelihood estimator. More details about power logit regression models are described in Queiroz and Ferrari (2022) arXiv:2202.01697.
Minor changes
- Small changes in the documentation of some functions.
Miner changes
- Update the CI.lambda function.
From NEWS.md in the release
Install
Health
NOTER code for possible problemsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64
Found calls to structure() using deprecated special names: PLreg/R/PLreg.R (.Names: 2) '.Names' should be changed to 'names'.
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Felipe Queiroz <ffelipeq@outlook.com>’ The Description field contains are described in Queiroz and Ferrari (2022) <arXiv:2202.01697>. Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
- NOTE8 OK, 5 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 14
- Examples that run
- 100%14 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 83%
- Return-value docs
- 100%
- Help pages citing references
- 71%
Downloads
Repository
Releases over time
4 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/ffqueiroz/plreg on 2026-10-11.
Dependencies
Installing PLreg adds 30 packages (15 with compiled code, 26 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, VGAM 1.7 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 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
- 0.4.1Latest
- 0.4.0
- 0.3.12023-01-23 · diff ↗
- 0.3.0
- RR 4.2.0 released · 2022-04-22
- 0.2.02022-03-30
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2022-03-30
- Total releases
- 5 / 4 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 6.8 KB / 3 files
- Download size
- 46 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("PLreg")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.