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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

Documentation:

Reference manual: PPLasso.pdf
Vignettes: WLasso package

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:

Please use the canonical form https://CRAN.R-project.org/package=PPLasso to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.