strip

Removes all elements of a <code>semforest</code> or <code>semtree</code>
except for the tree structure and terminal node parameters. This is to
reduce the heavy memory footprint of sem trees and forests.

SEM Trees and SEM Forests -- an extension of model-based decision
trees and forests to Structural Equation Models (SEM). SEM trees hierarchically
split empirical data into homogeneous groups each sharing similar data patterns
with respect to a SEM by recursively selecting optimal predictors of these
differences. SEM forests are an extension of SEM trees. They are ensembles of
SEM trees each built on a random sample of the original data. By aggregating
over a forest, we obtain measures of variable importance that are more robust
than measures from single trees. A description of the method was published by
Brandmaier, von Oertzen, McArdle, & Lindenberger (2013) <doi:10.1037/a0030001>
and Arnold, Voelkle, & Brandmaier (2020) <doi:10.3389/fpsyg.2020.564403>.

Andreas M. Brandmaier andy@brandmaier.de

semtree

Recursive Partitioning for Structural Equation Models

Andreas M. Brandmaier 

John J. Prindle 

Manuel Arnold 

Caspar J. Van Lissa 

Moritz John 

strip function

<dl><dt>x</dt>
<dd>An object for which a method exists.</dd>
<dt>parameters</dt>
<dd>Character vector, referencing parameters in the SEM model.
Defaults to <code>NULL</code>, in which case all free model parameters are
returned.</dd></dl>

Arguments

Retain only basic tree structure — strip

<dl>

<dt>x</dt>
<dd>An object for which a method exists.</dd>


<dt>parameters</dt>
<dd>Character vector, referencing parameters in the SEM model.
Defaults to <code>NULL</code>, in which case all free model parameters are
returned.</dd>

</dl>

strip: Retain only basic tree structure

Description

Usage

Value

Arguments

Details

Examples