VSOLassoBag
1.0Variable Selection Oriented LASSO Bagging Algorithm
Overview
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
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-05-1013 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
- ERROR2026-05-0312 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 40%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.99.12023-03-24 · diff ↗
- 0.99.02022-11-25
- RR 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.VSOLassoBagBibTeX, 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/VSOLassoBagRIS
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.