getCFI.Sigma

Computes CFI given the model-implied and the observed (or population) covariance matrix:
<code>CFI = (F_null - F_hyp) / F_null</code>.

Provides a-priori, post-hoc, and compromise power-analyses
for structural equation models (SEM).

Morten Moshagen

semPower

Power Analyses for SEM

Martina Bader

getCFI.Sigma function

<dl><dt>SigmaHat</dt>
<dd>model implied covariance matrix</dd>
<dt>S</dt>
<dd>observed (or population) covariance matrix</dd>
<dt>muHat</dt>
<dd>model implied mean vector</dd>
<dt>mu</dt>
<dd>observed (or population) mean vector</dd>
<dt>fittingFunction</dt>
<dd>whether to use <code>ML</code> or <code>WLS</code></dd></dl>

Arguments

getCFI.Sigma — getCFI.Sigma

<dl>

<dt>SigmaHat</dt>
<dd>model implied covariance matrix</dd>


<dt>S</dt>
<dd>observed (or population) covariance matrix</dd>


<dt>muHat</dt>
<dd>model implied mean vector</dd>


<dt>mu</dt>
<dd>observed (or population) mean vector</dd>


<dt>fittingFunction</dt>
<dd>whether to use <code>ML</code> or <code>WLS</code></dd>

</dl>

getCFI.Sigma: getCFI.Sigma

Description

Usage

Value

Arguments