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survivalsvm

Survival Support Vector Analysis

v0.0.6 · Apr 4, 2025 · GPL

Description

Performs support vectors analysis for data sets with survival outcome. Three approaches are available in the package: The regression approach takes censoring into account when formulating the inequality constraints of the support vector problem. In the ranking approach, the inequality constraints set the objective to maximize the concordance index for comparable pairs of observations. The hybrid approach combines the regression and ranking constraints in the same model.

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CRAN Check Status

14 OK
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Flavor Status
r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Reverse Dependencies (1)

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Dependency Network

Dependencies Reverse dependencies survival pracma kernlab Matrix Hmisc SuperSurv survivalsvm

Version History

new 0.0.6 Mar 10, 2026
updated 0.0.6 ← 0.0.5 diff Apr 3, 2025
updated 0.0.5 ← 0.0.4 diff Feb 4, 2018
updated 0.0.4 ← 0.0.3 diff Jan 7, 2018
updated 0.0.3 ← 0.0.2 diff Nov 19, 2017
new 0.0.2 Jun 14, 2017