merge.semforest

This overrides generic base::merge() to merge two forests into one.

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 

merge.semforest function

<dl><dt>x</dt>
<dd>A SEM Forest</dd>
<dt>y</dt>
<dd>A second SEM Forest</dd>
<dt>...</dt>
<dd>Extra arguments. Currently unused.</dd></dl>

Arguments

Andreas M. Brandmaier, John J. Prindle

Author

Merge two SEM forests — merge.semforest

<dl>

<dt>x</dt>
<dd>A SEM Forest</dd>


<dt>y</dt>
<dd>A second SEM Forest</dd>


<dt>...</dt>
<dd>Extra arguments. Currently unused.</dd>

</dl>

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merge.semforest: Merge two SEM forests

Description

Usage

Arguments

Author

References

See Also