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