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survivalsvm  

Survival Support Vector Analysis
View on CRAN: Click here


Download and install survivalsvm package within the R console
Install from CRAN:
install.packages("survivalsvm")

Install from Github:
library("remotes")
install_github("cran/survivalsvm")

Install by package version:
library("remotes")
install_version("survivalsvm", "0.0.6")



Attach the package and use:
library("survivalsvm")
Maintained by
Cesaire Fouodo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-06-15
Latest Update: 2025-04-04
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.
How to cite:
Cesaire Fouodo (2017). survivalsvm: Survival Support Vector Analysis. R package version 0.0.6, https://cran.r-project.org/web/packages/survivalsvm. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:11), 0.0.2 (2017-06-15 00:20), 0.0.3 (2017-11-20 14:15), 0.0.4 (2018-01-08 18:11), 0.0.5 (2018-02-05 08:01), 0.0.6 (2025-04-04 16:20)
Other packages that cited survivalsvm R package
View survivalsvm citation profile
Other R packages that survivalsvm depends, imports, suggests or enhances
Complete documentation for survivalsvm
Functions, R codes and Examples using the survivalsvm R package
Some associated functions: Diffmatrix . HybridObj . Kernel . RegFitObj . VB1FitObj . VB2FitObj . conindex . getAlpha.VB1FitObj . getAlpha.default . getAlpha . getBeta.HybridObj . getBeta.RegFitObj . getBeta.default . getBeta . getBetastar.HybridObj . getBetastar.default . getBetastar . getBinca.default . getBincat.Kernel . getBincat . getDelta.HybridObj . getDelta.default . getDelta . getDifMat.VB1FitObj . getDifMat.default . getDifMat . getKernel.RegFitObj . getKernel.VB1FitObj . getKernel.default . getKernel . getKernpar.Kernel . getKernpar.default . getKernpar . getLogrank . getMat.Diffmatrix . getMat.Kernel . getMat.default . getMat . getOptMeth.RegFitObj . getOptMeth.VB1FitObj . getOptMeth.default . getOptMeth . getSV.RegFitObj . getSV.default . getSV . getType.Diffmatrix . getType.Kernel . getType.default . getType . getXtrain.VB1FitObj . getXtrain.default . getXtrain . getb0.RegFitObj . getb0 . hybridFit . kernelMatrix . logrank . makediff1 . makediff2 . makediff3 . predict.survivalsvm . predictHybrid . predictRegFitObj . predictVB1FitObj . predictVB2FitObj . print.survivalsvm . print.survivalsvmprediction . printHybrid . printRegFitObj . printVB1FitObj . printVB2FitObj . regFit . setAlpha.VB1FitObj . setAlpha.default . setAlpha . setBeta.HybridObj . setBeta.RegFitObj . setBeta.default . setBeta . setBetastar.HybridObj . setBetastar.default . setBetastar . setBincat.Kernel . setBincat.default . setBincat . setDelta.default . setDelta . setDifMat.VB1FitObj . setDifMat.default . setDifMat . setKernel.RegFitObj . setKernel.VB1FitObj . setKernel.default . setKernel . setKernpar.Kernel . setKernpar.default . setKernpar . setMat.Diffmatrix . setMat.Kernel . setMat . setMatrix.default . setOptMeth.RegFitObj . setOptMeth.VB1FitObj . setOptMeth.default . setOptMeth . setSV.RegFitObj . setSV.default . setSV . setType.Diffmatrix . setType.Kernel . setType.default . setType . setXtrain.VB1FitObj . setXtrain.default . setXtrain . setb0.RegFitObj . setb0.default . setb0 . survivalsvm . vanbelle1Fit . vanbelle2Fit . 
Some associated R codes: Diffmatrix.R . hybrid.R . kernels.R . perfomances.R . predictions.R . prints.R . regression.R . survivalsvm.R . vanbelle1.R . vanbelle2.R .  Full survivalsvm package functions and examples
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