survivalsvm: Survival Support Vector Analysis

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.

Version:	0.0.6
Depends:	survival
Imports:	pracma, kernlab, Matrix, stats, Hmisc
Suggests:	testthat, quadprog
Published:	2025-04-04
DOI:	10.32614/CRAN.package.survivalsvm
Author:	Cesaire J. K. Fouodo [aut, cre]
Maintainer:	Cesaire J. K. Fouodo <cesaire.kuetefouodo at uni-luebeck.de>
BugReports:	https://github.com/imbs-hl/survivalsvm/issues
License:	GPL-2 | GPL-3 [expanded from: GPL]
URL:	https://github.com/imbs-hl/survivalsvm
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	survivalsvm results

Documentation:

Reference manual:

survivalsvm.html , survivalsvm.pdf

Downloads:

Package source:	survivalsvm_0.0.6.tar.gz
Windows binaries:	r-devel: survivalsvm_0.0.6.zip, r-release: survivalsvm_0.0.6.zip, r-oldrel: survivalsvm_0.0.6.zip
macOS binaries:	r-release (arm64): survivalsvm_0.0.6.tgz, r-oldrel (arm64): survivalsvm_0.0.6.tgz, r-release (x86_64): survivalsvm_0.0.6.tgz, r-oldrel (x86_64): survivalsvm_0.0.6.tgz
Old sources:	survivalsvm archive

Reverse dependencies:

Reverse imports:

EnMCB

Linking:

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