setKernel.default

[<code>RegFitObj</code>(1)]
object taken in the argument.

[<code><a rd-options="" href="/link/Kernel?package=survivalsvm&version=0.0.5" data-mini-rdoc="survivalsvm::Kernel">Kernel</a>(1)</code>]
new object of class <code>Kernel</code>.

Kernel

internal

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.

Cesaire Fouodo

survivalsvm

Survival Support Vector Analysis

setKernel.default function

<dl><dt>rfo</dt>
<dd>[<code>RegFitObj</code>(1)] 
object taken in the argument.</dd>
<dt>Kernel</dt>
<dd>[<code>Kernel(1)</code>] 
new object of class <code>Kernel</code>.</dd></dl>

Arguments

RegFitObj (regression approach) — setKernel.default

<dl>

<dt>rfo</dt>
<dd>[<code>RegFitObj</code>(1)] 
object taken in the argument.</dd>


<dt>Kernel</dt>
<dd>[<code>Kernel(1)</code>] 
new object of class <code>Kernel</code>.</dd>

</dl>

setKernel.default: `RegFitObj` (regression approach)

Description

Usage

Value

Arguments