getLogrank

[<code>survivalsvmprediction</code>(1)]
Object of class <code>survivalsvmprediction</code>.

[<code>numeric</code>(1)]
Numeric vector (of survival times).

[<code>vector</code>(1)]
Binary vector (of status).

delta

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

getLogrank function

<dl><dt>obj</dt>
<dd>[<code>survivalsvmprediction</code>(1)] 
Object of class <code>survivalsvmprediction</code>.</dd>
<dt>t</dt>
<dd>[<code>numeric</code>(1)] 
Numeric vector (of survival times).</dd>
<dt>delta</dt>
<dd>[<code>vector</code>(1)] 
Binary vector (of status).</dd></dl>

Arguments

getLogrank — getLogrank

<dl>

<dt>obj</dt>
<dd>[<code>survivalsvmprediction</code>(1)] 
Object of class <code>survivalsvmprediction</code>.</dd>


<dt>t</dt>
<dd>[<code>numeric</code>(1)] 
Numeric vector (of survival times).</dd>


<dt>delta</dt>
<dd>[<code>vector</code>(1)] 
Binary vector (of status).</dd>

</dl>

`chi_sq`	chi-squared statistic and
`chi_p`	chi-squared probality.

getLogrank: `getLogrank`

Description

Usage

Value

Arguments