Variable Selection Oriented LASSO Bagging Algorithm R package VSOLassoBag version 1.0 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. Software Depends: R (>= 3.6.0) Imports: glmnet, survival, ggplot2, POT, parallel, utils, pbapply, methods, SummarizedExperiment Suggests: rmarkdown, knitr, rmdformats, qpdf Chaoye Wang <wangcy1@sysucc.org.cn> Comprehensive R Archive Network (CRAN) Jiaqi Liang [aut], Chaoye Wang [aut, cre] GPL-3 2025-09-01 application/tgz https://CRAN.R-project.org/package=VSOLassoBag doi:10.32614/CRAN.package.VSOLassoBag