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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 |
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 |
Reference manual: | survivalSL.pdf |
Package source: | survivalSL_0.94.tar.gz |
Windows binaries: | r-devel: survivalSL_0.94.zip, r-release: survivalSL_0.94.zip, r-oldrel: survivalSL_0.94.zip |
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 |
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These binaries (installable software) and packages are in development.
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