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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 |
DOI: | 10.32614/CRAN.package.survML |
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 |
Reference manual: | survML.pdf |
Vignettes: |
Basic Usage of survML |
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 imports: | vaccine |
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These binaries (installable software) and packages are in development.
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