setBeta.HybridObj

[<code>Hybrid(1)</code>]
Object of class <code>Hybrid</code> taken in the argument.

hybo

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

beta

Default mutator of the field <code>Beta</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

setBeta.HybridObj function

<dl><dt>hybo</dt>
<dd>[<code>Hybrid(1)</code>] 
Object of class <code>Hybrid</code> taken in the argument.</dd>
<dt>beta</dt>
<dd>[<code>vector(1)</code>] 
Index of binary/categorial variables.</dd></dl>

Arguments

Hybrid (hybrid approach) — setBeta.HybridObj

<dl>

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


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

</dl>

setBeta.HybridObj: `Hybrid` (hybrid approach)

Description

Usage

Value

Arguments