predict.gpe

Predict function for <code>gpe</code>

Derives prediction rule ensembles (PREs). Largely follows the
procedure for deriving PREs as described in Friedman & Popescu (2008;
<DOI:10.1214/07-AOAS148>), with adjustments and improvements. The
main function pre() derives prediction rule ensembles consisting of
rules and/or linear terms for continuous, binary, count, multinomial,
and multivariate continuous responses. Function gpe() derives
generalized prediction ensembles, consisting of rules, hinge and linear
functions of the predictor variables.

Marjolein Fokkema

Prediction Rule Ensembles

Benjamin Christoffersen

predict.gpe function

<dl><dt>object</dt>
<dd>of class <code>gpe</code></dd>
<dt>newdata</dt>
<dd>optional new data to compute predictions for</dd>
<dt>type</dt>
<dd>argument passed to <code>predict.cv.glmnet</code></dd>
<dt>penalty.par.val</dt>
<dd>argument passed to <code>s</code> argument of <code>predict.cv.glmnet</code></dd>
<dt>...</dt>
<dd>Unused</dd></dl>

Arguments

Predicted values based on gpe ensemble — predict.gpe

<dl>

<dt>object</dt>
<dd>of class <code>gpe</code></dd>


<dt>newdata</dt>
<dd>optional new data to compute predictions for</dd>


<dt>type</dt>
<dd>argument passed to <code>predict.cv.glmnet</code></dd>


<dt>penalty.par.val</dt>
<dd>argument passed to <code>s</code> argument of <code>predict.cv.glmnet</code></dd>


<dt>...</dt>
<dd>Unused</dd>

</dl>

predict.gpe: Predicted values based on gpe ensemble

Description

Usage

Arguments

Details

See Also