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survivalSL: Super Learner for Survival Prediction from Censored Data

Several functions and S3 methods to construct a super learner in the presence of censored times-to-event and to evaluate its prognostic capacities.

Version:1.0
Depends:R (≥ 4.0.0), splines,survival
Imports:date, graphics,MASS,glmnet,caret,flexsurv,randomForestSRC,hdnom,survivalPLANN,dplyr,rpart, methods
Published:2025-12-16
DOI:10.32614/CRAN.package.survivalSL
Author:Yohann FoucherORCID iD [aut, cre], Camille SabatheORCID iD [aut]
Maintainer:Yohann Foucher <yohann.foucher at univ-poitiers.fr>
BugReports:https://github.com/foucher-y/survivalSL/issues
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:no
Materials:README
CRAN checks:survivalSL results

Documentation:

Reference manual:survivalSL.html ,survivalSL.pdf

Downloads:

Package source: survivalSL_1.0.tar.gz
Windows binaries: r-devel:survivalSL_1.0.zip, r-release:survivalSL_0.98.zip, r-oldrel:survivalSL_1.0.zip
macOS binaries: r-release (arm64):survivalSL_0.98.tgz, r-oldrel (arm64):survivalSL_0.98.tgz, r-release (x86_64):survivalSL_1.0.tgz, r-oldrel (x86_64):survivalSL_1.0.tgz
Old sources: survivalSL archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=survivalSLto link to this page.


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