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: 0.93
Depends: R (≥ 4.0.0), splines, survival
Imports: date, graphics, MASS, glmnet, caret, flexsurv, randomForestSRC, hdnom, glmnetUtils, dplyr, rpart, methods
Suggests: reticulate, survivalmodels
Published: 2024-02-23
Author: Yohann Foucher ORCID iD [aut, cre], Camille Sabathe ORCID 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
CRAN checks: survivalSL results

Documentation:

Reference manual: survivalSL.pdf

Downloads:

Package source: survivalSL_0.93.tar.gz
Windows binaries: r-devel: survivalSL_0.92.zip, r-release: survivalSL_0.93.zip, r-oldrel: survivalSL_0.93.zip
macOS binaries: r-release (arm64): survivalSL_0.93.tgz, r-oldrel (arm64): survivalSL_0.93.tgz, r-release (x86_64): survivalSL_0.93.tgz
Old sources: survivalSL archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=survivalSL to link to this page.