setKernpar.Kernel

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

kern

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

kernpar

Mutator of the field <code>Kernpar</code> of the object of class <code>Kernel</code> 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.Kernel function

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

Arguments

Author

Kernel — setKernpar.Kernel

<dl>

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


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

</dl>

`Type`	Type of kernel,
`Mat`	Kernel matrix,
`Kernpar`	Parameters of kernel, when required,
`bincat`	Index of binary/categorical variables, when required,

setKernpar.Kernel: `Kernel`

Description

Usage

Value

Arguments

Author