Skip to content

VSOLassoBag

1.0

Variable Selection Oriented LASSO Bagging Algorithm

0packages depend
2.5Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Chaoye WangFirst published 2022-11-253 releasesCRAN page ↗

A wrapped LASSO approach by integrating an ensemble learning strategy to help select efficient, stable, and high confidential variables from omics-based data. Using a bagging strategy in combination of a parametric method or inflection point search method for cut-off threshold determination. This package can integrate and vote variables generated from multiple LASSO models to determine the optimal candidates. Luo H, Zhao Q, et al (2020) doi:10.1126/scitranslmed.aax7533 for more details.

Install

Health

CRAN checks
13OK
Slowest check: 13.5 min · r-devel-linux-x86_64-fedora-clang
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
9
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-10
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-05-03
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
40%

Downloads

2.5K
CRAN downloads in the past year
Rank #16,257 · ~7/day · ~212/mo
Daily download trend is not available in this view yet.
13230 days
64190 days
2.5K1 year
Compare downloads with other packages →
Also on139 r2u

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.6.0
Imports (9)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0Latest
    2025-09-01 · current release · diff ↗
  • 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
  • 0.99.1
    2023-03-24 · diff ↗
  • 0.99.0
    2022-11-25
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-11-25
Total releases
3 / 4 yrs
License
GPL-3 OSI
Minimum R
≥ 3.6.0
Bundled data
764 KB / 1 file
Download size
1.4 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("VSOLassoBag")

CRAN DOI

https://doi.org/10.32614/CRAN.package.VSOLassoBag

BibTeX, derived from DESCRIPTION

@Manual{VSOLassoBag,
  title  = {VSOLassoBag: Variable Selection Oriented LASSO Bagging Algorithm},
  author = {Wang, Chaoye and Liang, Jiaqi},
  year   = {2025},
  note   = {R package version 1.0},
  doi    = {10.32614/CRAN.package.VSOLassoBag},
  url    = {https://CRAN.R-project.org/package=VSOLassoBag}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatoryVSOLassoBag,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {VSOLassoBag} version 1.0},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/VSOLassoBag},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for VSOLassoBag version 1.0 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/VSOLassoBag

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for VSOLassoBag version 1.0
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/VSOLassoBag
ER  - 

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/VSOLassoBag.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy