RegFitObj

[<code>vector(1)</code>]
solution of the quadratic optimization problem of interest

Beta

[<code>matrix(1)</code>]
support vector machines.

[<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>.

Kernel

[<code>character(1)</code>]
program used to solve the optimization problem.

OptMeth

[<code>numeric(1)</code>]
the estimated offset.

Constructs object of class <code>RegFitObj</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

RegFitObj function

<dl><dt>Beta</dt>
<dd>[<code>vector(1)</code>] 
solution of the quadratic optimization problem of interest</dd>
<dt>SV</dt>
<dd>[<code>matrix(1)</code>] 
support vector machines.</dd>
<dt>Kernel</dt>
<dd>[<code>Kernel(1)</code>] 
object of class <code>Kernel</code>.</dd>
<dt>OptMeth</dt>
<dd>[<code>character(1)</code>] 
program used to solve the optimization problem.</dd>
<dt>b0</dt>
<dd>[<code>numeric(1)</code>] 
the estimated offset.</dd></dl>

Arguments

survivalsvm (regression approach) — RegFitObj

<dl>

<dt>Beta</dt>
<dd>[<code>vector(1)</code>] 
solution of the quadratic optimization problem of interest</dd>


<dt>SV</dt>
<dd>[<code>matrix(1)</code>] 
support vector machines.</dd>


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


<dt>OptMeth</dt>
<dd>[<code>character(1)</code>] 
program used to solve the optimization problem.</dd>


<dt>b0</dt>
<dd>[<code>numeric(1)</code>] 
the estimated offset.</dd>

</dl>

RegFitObj: survivalsvm (regression approach)

Description

Usage

Value

Arguments