Statistical tools for analyzing time-to-event data using machine learning. Implements survival stacking for conditional survival estimation, standardized survival function estimation for current status data, and methods for algorithm-agnostic variable importance. See Wolock CJ, Gilbert PB, Simon N, and Carone M (2024) <doi:10.1080/10618600.2024.2304070>.
| Version: | 1.2.0 |
| Depends: | SuperLearner (≥ 2.0.28) |
| Imports: | Iso (≥ 0.0.18.1),haldensify (≥ 0.2.3),fdrtool (≥ 1.2.17),ChernoffDist (≥ 0.1.0),dplyr (≥ 1.0.10),gtools (≥ 3.9.5),mboost (≥ 2.9.0),survival (≥ 3.5.0), stats (≥ 4.3.2), methods (≥ 4.3.2) |
| Suggests: | knitr,rmarkdown,testthat (≥ 3.0.0),ggplot2 (≥ 3.4.0),gam (≥ 1.22.0) |
| Published: | 2024-10-31 |
| DOI: | 10.32614/CRAN.package.survML |
| Author: | Charles Wolock [aut, cre, cph], Avi Kenny [ctb] |
| Maintainer: | Charles Wolock <cwolock at gmail.com> |
| BugReports: | https://github.com/cwolock/survML/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/cwolock/survML,https://cwolock.github.io/survML/ |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | survML results |