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: 0.94
Depends: R (≥ 4.0.0), splines, survival
Imports: date, graphics, MASS, glmnet, caret, flexsurv, randomForestSRC, hdnom, glmnetUtils, dplyr, rpart, methods
Suggests: reticulate, survivalmodels
Published: 2024-03-19
DOI: 10.32614/CRAN.package.survivalSL
Author: Yohann Foucher ORCID iD [aut, cre], Camille Sabathe ORCID iD [aut]
Maintainer: Yohann Foucher <yohann.foucher at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: survivalSL results


Reference manual: survivalSL.pdf


Package source: survivalSL_0.94.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): survivalSL_0.94.tgz, r-oldrel (arm64): survivalSL_0.94.tgz, r-release (x86_64): survivalSL_0.94.tgz, r-oldrel (x86_64): survivalSL_0.94.tgz
Old sources: survivalSL archive


Please use the canonical form to link to this page.