print.cvsem

Return the ordered list of models where the model with the smallest discrepancy metric is listed first.

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

print.cvsem function

<dl><dt>x</dt>
<dd>cvsem object</dd>
<dt>digits</dt>
<dd>Round to (default 2) digits.</dd>
<dt>...</dt>
<dd>not used</dd></dl>

Arguments

Print cvsem object — print.cvsem

<dl>

<dt>x</dt>
<dd>cvsem object</dd>


<dt>digits</dt>
<dd>Round to (default 2) digits.</dd>


<dt>...</dt>
<dd>not used</dd>

</dl>

print.cvsem: Print cvsem object

Description

Usage

Value

Arguments