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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: |
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 |
| Author: |
Yohann Foucher 
[aut, cre],
Camille Sabathe
[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:
Downloads:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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