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 (≥ 0.0.18.1)
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0), ggplot2 (≥ 3.4.0), gam (≥ 1.22.0)
Published:	2024-03-17
Author:	Charles Wolock [aut, cre, cph]
Maintainer:	Charles Wolock <cwolock at gmail.com>
BugReports:	https://github.com/cwolock/survML/issues
License:	GPL (≥ 3)
URL:	https://github.com/cwolock/survML
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	survML results

Documentation:

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

Downloads:

Package source:	survML_1.1.0.tar.gz
Windows binaries:	r-devel: survML_1.1.0.zip, r-release: survML_1.1.0.zip, r-oldrel: survML_1.1.0.zip
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

Linking:

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