predict.crf

Predictions from a fitted <code>crf</code> clustered random forest on newdata <code>newdata</code>.

A clustered random forest algorithm for fitting random forests for data of independent clusters, that exhibit within cluster dependence.
Details of the method can be found in Young and Buehlmann (2025) <doi:10.48550/arXiv.2503.12634>.

Elliot H. Young

corrRF

Clustered Random Forests for Optimal Prediction and Inference of
Clustered Data

predict.crf function

<dl><dt>object</dt>
<dd>a fitted <code>crf</code> clustered random forest object fitted by <code>crf</code>.</dd>
<dt>newdata</dt>
<dd>dataset on which predictions are to be performed.</dd>
<dt>sderr</dt>
<dd>whether 'bootstrap of little bags' standard errors should be additionally outputted. Default is <code>FALSE</code>.</dd>
<dt>...</dt>
<dd>additional arguments</dd></dl>

Arguments

Predictions from a crf given newdata — predict.crf

<dl>

<dt>object</dt>
<dd>a fitted <code>crf</code> clustered random forest object fitted by <code>crf</code>.</dd>


<dt>newdata</dt>
<dd>dataset on which predictions are to be performed.</dd>


<dt>sderr</dt>
<dd>whether 'bootstrap of little bags' standard errors should be additionally outputted. Default is <code>FALSE</code>.</dd>


<dt>...</dt>
<dd>additional arguments</dd>

</dl>

predict.crf: Predictions from a crf given newdata

Description

Usage

Value

Arguments