VarCorr

It extracts the variance-covariance matrix of the
 random effects (variance component) from either the <code>meta</code> or
 <code>osmasem</code> objects.

 methods 

A collection of functions for conducting meta-analysis using a
structural equation modeling (SEM) approach via the 'OpenMx' and
'lavaan' packages. It also implements various procedures to
perform meta-analytic structural equation modeling on the
correlation and covariance matrices, see Cheung (2015)
<doi:10.3389/fpsyg.2014.01521>.

Mike Cheung

metaSEM

Meta-Analysis using Structural Equation Modeling

VarCorr function

<dl> <dt>x</dt>
<dd>An object returned from either class
	<code>meta</code> or <code>osmasem</code></dd> <dt>...</dt>
<dd>Further arguments; currently none is used</dd></dl>

Arguments

Mike W.-L. Cheung &lt;mikewlcheung@nus.edu.sg&gt;

Author

Extract Variance-Covariance Matrix of the Random Effects — VarCorr

<dl>

 <dt>x</dt>
<dd>An object returned from either class
	<code>meta</code> or <code>osmasem</code></dd>

 <dt>...</dt>
<dd>Further arguments; currently none is used</dd>

</dl>

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VarCorr: Extract Variance-Covariance Matrix of the Random Effects

Description

Usage

Value

Arguments

Author

See Also

Examples