getSRMR.Sigma

SigmaHat

observed (or population) covariance matrix

calculates SRMR given model-implied and observed covariance matrix.

Provides a-priori, post-hoc, and compromise power-analyses
for structural equation models (SEM). Moshagen & Erdfelder (2016)
<doi:10.1080/10705511.2014.950896>.

Morten Moshagen

semPower

Power Analyses for SEM

getSRMR.Sigma function

<dl><dt>SigmaHat</dt>
<dd>model implied covariance matrix</dd>
<dt>S</dt>
<dd>observed (or population) covariance matrix</dd></dl>

Arguments

getSRMR.Sigma — getSRMR.Sigma

<dl>

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


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

</dl>

getSRMR.Sigma: getSRMR.Sigma

Description

Usage

Value

Arguments