.lavaan_vars

Internal function to extract variable names for each tested model
This is used to find largest umber of folds K

internal

The goal of 'cvsem' is to provide functions that allow for comparing Structural Equation Models (SEM) using cross-validation. Users can specify multiple SEMs using 'lavaan' syntax. 'cvsem' computes the Kullback Leibler (KL) Divergence between 1) the model implied covariance matrix estimated from the training data and 2) the sample covariance matrix estimated from the test data described in Cudeck, Robert & Browne (1983) <doi:10.18637/jss.v048.i02>. The KL Divergence is computed for each of the specified SEMs allowing for the models to be compared based on their prediction errors.

Anna Wysocki

cvsem

SEM Model Comparison with K-Fold Cross-Validation

Danielle Siegel

Cameron allen

Philippe Rast

.lavaan_vars function

<dl><dt>X</dt>
<dd>lavaan model</dd>
<dt>data</dt>
<dd>Data</dd></dl>

Arguments

Author

Internal function to extract variable names for each tested model
This is used to find largest umber of folds K — .lavaan_vars

<dl>

<dt>X</dt>
<dd>lavaan model</dd>


<dt>data</dt>
<dd>Data</dd>

</dl>

.lavaan_vars: Internal function to extract variable names for each tested model This is used to find largest umber of folds K

Description

Usage

Value

Arguments

Author