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
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 [issues need fixing before 2025-10-16]

Documentation:

Reference manual:	PPLasso.html , PPLasso.pdf
Vignettes:	WLasso package (source, R code)

Downloads:

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

Linking:

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