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: |
0.9 |
| 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: |
2023-04-20 |
| Author: |
Yohann Foucher 
[aut, cre],
Camille Sabathe
[aut] |
| Maintainer: |
Yohann Foucher <yohann.foucher at univ-poitiers.fr> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
survivalSL results |