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This package was removed from CRAN on 2025-12-25. Its history is shown below.
Reason: issues were not addressed in time
Details below reflect version 0.2.0, its last release before removal.

BOSSreg

0.2.0

Best Orthogonalized Subset Selection (BOSS)

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Overview

About
Maintained by Sen Tian2 releasesCRAN page ↗GitHub ↗

Best Orthogonalized Subset Selection (BOSS) is a least-squares (LS) based subset selection method, that performs best subset selection upon an orthogonalized basis of ordered predictors, with the computational effort of a single ordinary LS fit. This package provides a highly optimized implementation of BOSS and estimates a heuristic degrees of freedom for BOSS, which can be plugged into an information criterion (IC) such as AICc in order to select the subset from candidates. It provides various choices of IC, including AIC, BIC, AICc, Cp and GCV. It also implements the forward stepwise selection (FS) with no additional computational cost, where the subset of FS is selected via cross-validation (CV). CV is also an option for BOSS. For details see: Tian, Hurvich and Simonoff (2021), "On the Use of Information Criteria for Subset Selection in Least Squares Regression", arXiv:1911.10191.

Install

Health

CRAN checks

CRAN check results are not tracked yet.

Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
4
Dependencies · direct

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
85%
Return-value docs
100%
References docs
29%

Downloads

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Also on383 r2u34 autocran

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (4)
glmnetMatrixRcppstats
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
indirect (not tracked)

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • archivedRemoved from CRAN
    2025-12-25
    issues were not addressed in time
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.2.0
    2021-03-06 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.1.0
    2019-12-06
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

Total releases
2
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BOSSreg")
Tian, S., Hurvich, C., & Simonoff, J. (n.d.). BOSSreg: Best Orthogonalized Subset Selection (BOSS) (Version 0.2.0) [Computer software]. Retrieved August 14, 2026, from https://CRAN.R-project.org/package=BOSSreg

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 BOSSreg version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-08-13. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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