survML: Flexible Estimation of Conditional Survival Functions Using Machine Learning

Tools for flexible estimation of conditional survival functions using off-the-shelf machine learning tools. Implements both global and local survival stacking. See Wolock CJ, Gilbert PB, Simon N, and Carone M (2024) <doi:10.1080/10618600.2024.2304070>.

Version: 1.1.0
Depends: SuperLearner (≥ 2.0.28)
Imports: Iso (≥
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), ggplot2 (≥ 3.4.0), gam (≥ 1.22.0)
Published: 2024-03-17
DOI: 10.32614/CRAN.package.survML
Author: Charles Wolock ORCID iD [aut, cre, cph]
Maintainer: Charles Wolock <cwolock at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: survML results


Reference manual: survML.pdf
Vignettes: Basic Usage of survML


Package source: survML_1.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): survML_1.1.0.tgz, r-oldrel (arm64): survML_1.1.0.tgz, r-release (x86_64): survML_1.1.0.tgz, r-oldrel (x86_64): survML_1.1.0.tgz
Old sources: survML archive

Reverse dependencies:

Reverse imports: vaccine


Please use the canonical form to link to this page.