setKernpar.default

[<code><a rd-options="" href="/link/Kernel?package=survivalsvm&version=0.0.5" data-mini-rdoc="survivalsvm::Kernel">Kernel</a>(1)</code>]
Object taken in the argument.

kern

[<code>vector(1)</code>]
New kernel parameters.

kernpar

Default mutator of the field <code>Kernpar</code> of the object taken in an argument.

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

setKernpar.default function

<dl><dt>kern</dt>
<dd>[<code>Kernel(1)</code>] 
Object taken in the argument.</dd>
<dt>kernpar</dt>
<dd>[<code>vector(1)</code>] 
New kernel parameters.</dd></dl>

Arguments

Author

Kernel — setKernpar.default

<dl>

<dt>kern</dt>
<dd>[<code>Kernel(1)</code>] 
Object taken in the argument.</dd>


<dt>kernpar</dt>
<dd>[<code>vector(1)</code>] 
New kernel parameters.</dd>

</dl>

setKernpar.default: `Kernel`

Description

Usage

Value

Arguments

Author