predict.morf.forest

Prediction method for class <code>morf.forest</code>.

internal

Nonparametric estimator of the ordered choice model using random forests. The estimator modifies a
standard random forest splitting criterion to build a collection of forests, each estimating the conditional
probability of a single class. The package also implements a nonparametric estimator of the covariates’ marginal effects.

Riccardo Di Francesco

morf

Modified Ordered Random Forest

predict.morf.forest function

<dl><dt>object</dt>
<dd>An <code>morf.forest</code> object.</dd>
<dt>data</dt>
<dd>Data set of class <code>data.frame</code>. It must contain at least the same covariates used to train the forests.</dd>
<dt>type</dt>
<dd>Type of prediction. Either <code>"response"</code> or <code>"terminalNodes"</code>.</dd>
<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd></dl>

Arguments

Author

Prediction Method for morf.forest Objects — predict.morf.forest

<dl>

<dt>object</dt>
<dd>An <code>morf.forest</code> object.</dd>


<dt>data</dt>
<dd>Data set of class <code>data.frame</code>. It must contain at least the same covariates used to train the forests.</dd>


<dt>type</dt>
<dd>Type of prediction. Either <code>"response"</code> or <code>"terminalNodes"</code>.</dd>


<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd>

</dl>

predict.morf.forest: Prediction Method for morf.forest Objects

Description

Usage

Value

Arguments

Author

Details

See Also