survivalsvm0.0.5 package

Survival Support Vector Analysis

conindex

cindex

Diffmatrix

Diffmatrix.

getAlpha.default

VB1FitObj (ranking approach)

getAlpha

VB1FitObj (ranking approach)

getAlpha.VB1FitObj

VB1FitObj (ranking approach)

getb0

RegFitObj (regression approach)

getb0.RegFitObj

Class RegFitObj (regression approach)

getBeta.default

Class RegFitObj (regression approach)

getBeta.HybridObj

Hybrid (hybrid approach)

getBeta

RegFitObj (regression approach)

getBeta.RegFitObj

RegFitObj

getBetastar.default

Hybrid (hybrid approach)

getBetastar.HybridObj

Hybrid (hybrid approach)

getBetastar

Hybrid (hybrid approach)

getBinca.default

Kernel

getBincat.Kernel

Kernel

getBincat

Kernel

getDelta.default

Hybrid (hybrid approach)

getDelta.HybridObj

Hybrid (hybrid approach)

getDelta

Hybrid (hybrid approach)

getDifMat.default

VB1FitObj (ranking approach)

getDifMat

VB1FitObj (ranking approach)

getDifMat.VB1FitObj

VB1FitObj (ranking approach)

getKernel.default

RegFitObj

getKernel

RegFitObj (regression approach)

getKernel.RegFitObj

RegFitObj

getKernel.VB1FitObj

VB1FitObj (ranking approach)

getKernpar.default

Kernel

getKernpar.Kernel

Kernel

getKernpar

Kernel

getLogrank

getLogrank

getMat.default

Kernel

getMat.Diffmatrix

Diffmatrix.

getMat.Kernel

Kernel

getMat

Kernel

getOptMeth.default

RegFitObj

getOptMeth

RegFitObj (regression approach)

getOptMeth.RegFitObj

Class RegFitObj (regression approach)

getOptMeth.VB1FitObj

VB1FitObj (ranking approach)

getSV.default

Class RegFitObj (regression approach)

getSV

RegFitObj (regression approach)

getSV.RegFitObj

RegFitObj

getType.default

Kernel

getType.Diffmatrix

Diffmatrix.

getType.Kernel

Kernel

getType

Kernel

getXtrain.default

VB1FitObj (ranking approach)

getXtrain

VB1FitObj (ranking approach)

getXtrain.VB1FitObj

VB1FitObj (ranking approach)

hybridFit

survivalsvm (hybrid approach)

HybridObj

HybridObj (hybrid approach)

Kernel

Kernel

kernelMatrix

Kernel

logrank

compute the Logrank

makediff1

Diffmatrix

makediff2

Diffmatrix

makediff3

Diffmatrix

predict.survivalsvm

Suvirvalsvm predictions

predictHybrid

Survivalsvm predictions

predictRegFitObj

Survivalsvm predictions

predictVB1FitObj

Survivalsvm predictions

predictVB2FitObj

Survivalsvm predictions

print.survivalsvm

print survivalsvm

print.survivalsvmprediction

print survivalsvm

printHybrid

print survivalsvm

printRegFitObj

print survivalsvm

printVB1FitObj

print survivalsvm

printVB2FitObj

print survivalsvm

regFit

survivalsvm (regression approach)

RegFitObj

survivalsvm (regression approach)

setAlpha.default

VB1FitObj (ranking approach)

setAlpha

VB1FitObj (ranking approach)

setAlpha.VB1FitObj

VB1FitObj (ranking approach)

setb0.default

Class RegFitObj (regression approach)

setb0

Class RegFitObj (regression approach)

setb0.RegFitObj

RegFitObj

setBeta.default

RegFitObj (regression approach)

setBeta.HybridObj

Hybrid (hybrid approach)

setBeta

Class RegFitObj (regression approach)

setBeta.RegFitObj

RegFitObj

setBetastar.default

Hybrid (hybrid approach)

setBetastar.HybridObj

Hybrid (hybrid approach)

setBetastar

Hybrid (hybrid approach)

setBincat.default

Kernel

setBincat.Kernel

Kernel

setBincat

Kernel

setDelta.default

Hybrid (hybrid approach)

setDelta

Hybrid (hybrid approach)

setDifMat.default

VB1FitObj (ranking approach)

setDifMat

VB1FitObj (ranking approach)

setDifMat.VB1FitObj

VB1FitObj (ranking approach)

setKernel.default

RegFitObj (regression approach)

setKernel

Class RegFitObj (regression approach)

setKernel.RegFitObj

RegFitObj

setKernel.VB1FitObj

VB1FitObj (ranking approach)

setKernpar.default

Kernel

setKernpar.Kernel

Kernel

setKernpar

Kernel

setMat.Diffmatrix

Diffmatrix.

setMat.Kernel

Kernel

setMat

Kernel

setMatrix.default

Kernel

setOptMeth.default

Class RegFitObj (regression approach)

setOptMeth

RegFitObj (regression approach)

setOptMeth.RegFitObj

RegFitObj

setOptMeth.VB1FitObj

VB1FitObj (ranking approach)

setSV.default

RegFitObj (regression approach)

setSV

Class RegFitObj (regression approach)

setSV.RegFitObj

RegFitObj

setType.default

Class Kernel

setType.Diffmatrix

Diffmatrix

setType.Kernel

Kernel

setType

Class Kernel

setXtrain.default

VB1FitObj (ranking approach)

setXtrain

VB1FitObj (ranking approach)

setXtrain.VB1FitObj

VB1FitObj (ranking approach)

survivalsvm

survivalsvm

vanbelle1Fit

survivalsvm (ranking approach)

vanbelle2Fit

survivalsvm (ranking approach)

VB1FitObj

survivalsvm (ranking approach)

VB2FitObj

survivalsvm (ranking approach)

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.

  • Maintainer: Cesaire Fouodo
  • License: GPL
  • Last published: 2018-02-05