Kernel

[<code>character</code>]
Type of kernel. Must be chosen from the following strings: <code>"lin_kernel"</code>, <code>"add_kernel"</code>,
<code>"rbf_kernel"</code>, <code>"rbf4_kernel"</code> or <code>"poly_kernel"</code>.

Type

[<code>matrix(1)</code>]
Kernel matrix.

[<code>vector(1)</code>]
Kernel parameters, when required.

Kernpar

[<code>vector(1)</code>]
Index of binary/categorical variables.

bincat

Constructor of objects of class <code>Kernel</code>.

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

Kernel function

<dl><dt>Type</dt>
<dd>[<code>character</code>] 
Type of kernel. Must be chosen from the following strings: <code>"lin_kernel"</code>, <code>"add_kernel"</code>,
<code>"rbf_kernel"</code>, <code>"rbf4_kernel"</code> or <code>"poly_kernel"</code>.</dd>
<dt>Mat</dt>
<dd>[<code>matrix(1)</code>] 
Kernel matrix.</dd>
<dt>Kernpar</dt>
<dd>[<code>vector(1)</code>] 
Kernel parameters, when required.</dd>
<dt>bincat</dt>
<dd>[<code>vector(1)</code>] 
Index of binary/categorical variables.</dd></dl>

Arguments

Author

Kernel — Kernel

<dl>

<dt>Type</dt>
<dd>[<code>character</code>] 
Type of kernel. Must be chosen from the following strings: <code>"lin_kernel"</code>, <code>"add_kernel"</code>,
<code>"rbf_kernel"</code>, <code>"rbf4_kernel"</code> or <code>"poly_kernel"</code>.</dd>


<dt>Mat</dt>
<dd>[<code>matrix(1)</code>] 
Kernel matrix.</dd>


<dt>Kernpar</dt>
<dd>[<code>vector(1)</code>] 
Kernel parameters, when required.</dd>


<dt>bincat</dt>
<dd>[<code>vector(1)</code>] 
Index of binary/categorical variables.</dd>

</dl>

`Type`	type of kernel,
`Mat`	matrix used to perform differences between comparable data points.

Kernel: `Kernel`

Description

Usage

Value

Arguments

Author