Package: VSOLassoBag
Type: Package
Title: Variable Selection Oriented LASSO Bagging Algorithm
Version: 1.0
Date: 2025-09-01
biocViews: Software, StatisticalMethod, FeatureExtraction
Authors@R: c(
  person('Jiaqi', 'Liang',  email = 'liangjq27@mail2.sysu.edu.cn', role = c('aut')),
  person('Chaoye', 'Wang',  email = 'wangcy1@sysucc.org.cn', role = c('aut', 'cre'))
  )
Description: 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.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: glmnet, survival, ggplot2, POT, parallel, utils, pbapply,
        methods, SummarizedExperiment
RoxygenNote: 7.3.0
Suggests: rmarkdown, knitr, rmdformats, qpdf
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-17 08:52:00 UTC; root
Author: Jiaqi Liang [aut], Chaoye Wang [aut, cre]
Maintainer: Chaoye Wang <wangcy1@sysucc.org.cn>
Config/pak/sysreqs: zlib1g-dev
Repository: https://chywang17.r-universe.dev
Date/Publication: 2025-09-01 12:10:02 UTC
RemoteUrl: https://github.com/cran/VSOLassoBag
RemoteRef: HEAD
RemoteSha: d24af3992572aee637ec78c23ff5a6bcd5604b15