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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=survML to link to this page.
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