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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