PPLasso: Prognostic Predictive Lasso for Biomarker Selection

We provide new tools for the identification of prognostic and predictive biomarkers. For further details we refer the reader to the paper: Zhu et al. Identification of prognostic and predictive biomarkers in high-dimensional data with PPLasso. BMC Bioinformatics. 2023 Jan 23;24(1):25.

Version: 2.0
Depends: R (≥ 3.5.0)
Imports: genlasso, ggplot2, cvCovEst, glmnet, MASS
Suggests: knitr, rmarkdown
Published: 2023-02-27
DOI: 10.32614/CRAN.package.PPLasso
Author: Wencan Zhu [aut, cre], Celine Levy-Leduc [ctb], Nils Ternes [ctb]
Maintainer: Wencan Zhu <wencan.zhu at agroparistech.fr>
License: GPL-2
NeedsCompilation: no
CRAN checks: PPLasso results


Reference manual: PPLasso.pdf
Vignettes: WLasso package


Package source: PPLasso_2.0.tar.gz
Windows binaries: r-devel: PPLasso_2.0.zip, r-release: PPLasso_2.0.zip, r-oldrel: PPLasso_2.0.zip
macOS binaries: r-release (arm64): PPLasso_2.0.tgz, r-oldrel (arm64): PPLasso_2.0.tgz, r-release (x86_64): PPLasso_2.0.tgz, r-oldrel (x86_64): PPLasso_2.0.tgz
Old sources: PPLasso archive


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