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: 0.91
Depends: R (≥ 4.0.0), splines, survival, reticulate, tune
Imports: date, graphics, MASS, nnet, kernlab, glmnet, caret, SuperLearner, flexsurv, randomForestSRC, survivalmodels, prodlim, hdnom, glmnetUtils, mosaic, mosaicCalc, cubature, timeROC, rpart, methods
Published: 2023-06-25
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
CRAN checks: survivalSL results


Reference manual: survivalSL.pdf


Package source: survivalSL_0.91.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): survivalSL_0.91.tgz, r-oldrel (arm64): survivalSL_0.91.tgz, r-release (x86_64): survivalSL_0.91.tgz, r-oldrel (x86_64): survivalSL_0.91.tgz
Old sources: survivalSL archive


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