plot.cv_risk_mod

Plots the mean auc for each \(lambda_0\) tested during cross-validation.

Implements an optimized approach to learning risk score models, where sparsity and integer constraints are integrated into the model-fitting process.

Hannah Eglinton

riskscores

Optimized Integer Risk Score Models

Seehanah Tang

Alice Paul

Oscar Yan

R Core Team 

Robert Gentleman

Ross Ihaka

Simon Davies

Thomas Lumley

plot.cv_risk_mod function

<dl><dt>x</dt>
<dd>An object of class "cv_risk_mod", usually a result of a call to
<code>cv_risk_mod()</code>.</dd>
<dt>...</dt>
<dd>Additional arguments affecting the plot produced</dd></dl>

Arguments

Plot Risk Score Cross-Validation Results — plot.cv_risk_mod

<dl>

<dt>x</dt>
<dd>An object of class "cv_risk_mod", usually a result of a call to
<code>cv_risk_mod()</code>.</dd>


<dt>...</dt>
<dd>Additional arguments affecting the plot produced</dd>

</dl>

Plot Risk Score Cross-Validation Results

plot.cv_risk_mod: Plot Risk Score Cross-Validation Results

Description

Usage

Value

Arguments