evaluateDataLikelihood

A <code><a rd-options="" href="/link/OpenMx?package=semtree&version=0.9.16" data-mini-rdoc="semtree::OpenMx">OpenMx</a></code> model as used in <code><a rd-options="" href="/link/semtree?package=semtree&version=0.9.16" data-mini-rdoc="semtree::semtree">semtree</a></code>
and <code><a rd-options="" href="/link/semforest?package=semtree&version=0.9.16" data-mini-rdoc="semtree::semforest">semforest</a></code>.

model

Data set to apply to a fitted model.

data

Type of data ("raw", "cov", "cor")

data_type

This helper function is used
in the <code><a rd-options="" href="/link/semforest?package=semtree&version=0.9.16" data-mini-rdoc="semtree::semforest">semforest</a></code> <code><a rd-options="" href="/link/varimp?package=semtree&version=0.9.16" data-mini-rdoc="semtree::varimp">varimp</a></code> and
<code><a rd-options="" href="/link/proximity?package=semtree&version=0.9.16" data-mini-rdoc="semtree::proximity">proximity</a></code> aggregate functions.

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 

evaluateDataLikelihood function

A <code><a rd-options='' href='OpenMx'>OpenMx</a></code> model as used in <code><a rd-options='' href='semtree'>semtree</a></code>
and <code><a rd-options='' href='semforest'>semforest</a></code>.

This helper function is used
in the <code><a rd-options='' href='semforest'>semforest</a></code> <code><a rd-options='' href='varimp'>varimp</a></code> and
<code><a rd-options='' href='proximity'>proximity</a></code> aggregate functions.

evaluateDataLikelihood: Compute the Negative Two-Loglikelihood of some data given a model (either OpenMx or lavaan)

Description

Usage

Arguments

Value

References

See Also