Package: PPLasso 2.0

Wencan Zhu

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.

Authors:Wencan Zhu [aut, cre], Celine Levy-Leduc [ctb], Nils Ternes [ctb]

PPLasso_2.0.tar.gz
PPLasso_2.0.tar.gz(r-4.5-noble)PPLasso_2.0.tar.gz(r-4.4-noble)
PPLasso_2.0.tgz(r-4.4-emscripten)PPLasso_2.0.tgz(r-4.3-emscripten)
PPLasso.pdf |PPLasso.html✨
PPLasso/json (API)

# Install 'PPLasso' in R:
install.packages('PPLasso', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 5 scripts 133 downloads 5 exports 91 dependencies

Last updated 2 years agofrom:a80319ed8b. Checks:OK: 1 WARNING: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-linuxWARNINGNov 01 2024

Exports:Correction1VectCorrection2VectProgPredLassotoptop_thresh

Dependencies:abindassertthatbackportsbootbroomcarcarDataclicodetoolscolorspacecoopcorrplotcowplotcpp11cvCovEstdata.tableDerivdigestdoBydplyrfansifarverforeachFormulafuturefuture.applygenericsgenlassoggplot2ggpubrggrepelggsciggsignifglmnetglobalsgluegridExtragtableigraphisobanditeratorslabelinglatticelifecyclelistenvlme4magrittrMASSMatrixMatrixModelsmatrixStatsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivorigamiparallellypbkrtestpillarpkgconfigpolynompurrrquantregR6rbibutilsRColorBrewerRcppRcppEigenRdpackrlangRMTstatRSpectrarstatixscalesshapeSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr

PPLasso package

Wencan Zhu, Céline Lévy-Leduc, Nils Ternès

Rendered fromVignettes.Rmdusingknitr::knitron Nov 01 2024.

Last update: 2022-02-08
Started: 2022-02-08