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.

Getting started

Package details

AuthorCesaire J. K. Fouodo
MaintainerCesaire Fouodo <>
Package repositoryView on CRAN
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survivalsvm documentation built on May 2, 2019, 9:29 a.m.