predict.risk_mod

Obtains predictions from risk score models.

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

predict.risk_mod function

<dl><dt>object</dt>
<dd>An object of class "risk_mod", usually a result of a call to
<code>risk_mod()</code>.</dd>
<dt>newx</dt>
<dd>Optional matrix of new values for <code>X</code> for which predictions are
to be made. If ommited, the fitted values are used.</dd>
<dt>type</dt>
<dd>The type of prediction required. The default ("link") is on the
scale of the predictors (i.e. log-odds); the "response" type is on the scale
of the response variable (i.e. risk probabilities); the "score" type returns
the risk score calculated from the integer model.</dd>
<dt>...</dt>
<dd>Additional arguments.</dd></dl>

Arguments

Predict Method for Risk Model Fits — predict.risk_mod

<dl>

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


<dt>newx</dt>
<dd>Optional matrix of new values for <code>X</code> for which predictions are
to be made. If ommited, the fitted values are used.</dd>


<dt>type</dt>
<dd>The type of prediction required. The default ("link") is on the
scale of the predictors (i.e. log-odds); the "response" type is on the scale
of the response variable (i.e. risk probabilities); the "score" type returns
the risk score calculated from the integer model.</dd>


<dt>...</dt>
<dd>Additional arguments.</dd>

</dl>

Predict Method for Risk Model Fits

predict.risk_mod: Predict Method for Risk Model Fits

Description

Usage

Value

Arguments

Examples