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Travis Build Status AppVeyor Build Status Coverage Status ## Survival Support Vector Analysis Cesaire J. K. Fouodo

Introduction

This package 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.

Installation

Installation from Github:

devtools::install_github("imbs-hl/survivalsvm")

CRAN release coming soon.

Usage

For usage in R, see ?survivalsvm in R. Most importantly, see the Examples section. As a first example you could try

survivalsvm(Surv(time, status) ~ ., veteran, gamma.mu = 0.1)

References

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.