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Correlation-Based Penalized Estimators

0packages depend
2.4Kdownloads / year
–test coverage
13/13flavors OK

Overview

About
Maintained by Mina NorouziradCRAN page ↗GitHub ↗Declared funder: FCT, I.P.

Provides correlation-based penalty estimators for both linear and logistic regression models by implementing a new regularization method that incorporates correlation structures within the data. This method encourages a grouping effect where strongly correlated predictors tend to be in or out of the model together. See Tutz and Ulbricht (2009) doi:10.1007/s11222-008-9088-5 and Algamal and Lee (2015) doi:10.1016/j.eswa.2015.08.016.

Changes in 0.1.0
  • Initial CRAN submission.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 46 s · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.0
READMEYes · 146 wordsVignettesNoNEWSYes · 67% structured · mentions 0.1.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
2
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100%

Downloads

2.4K
CRAN downloads in the past year
Rank #23,968 · ~7/day · ~202/mo
Daily download trend is not available in this view yet.
20630 days
53190 days
2.4K1 year
Compare downloads with other packages →
Also on88 r2u6 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2024-12-09
Responsiveness
not measured
PracticesBeta

5 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/mnrzrad/cbpe on 2026-10-22.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)

Installing CBPE adds no packages beyond those that come with R.

Depends (1)
R >= 3.5
Imports (1)
stats
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (4)
Author, Maintainer since 0.1.0 (2024), Copyright holder
Contributor
Contributor
Funder
under the scope of the projects UIDB/00297/2020 and UIDP/00297/2020 (NovaMath)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.0Latest
    2024-07-02 · current release
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-07-02
Total releases
1 / 2 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5
Download size
84 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CBPE")
Norouzirad, M., FCT, I.P., Arashi, M., & Rahimi, M. (2024). CBPE: Correlation-Based Penalized Estimators (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.CBPE

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for CBPE version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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