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 |