ARIVwrapper

Average Relative Increase in Variance

internal

Within-subject mediation analysis using structural equation modeling.
Examine how changes in an outcome variable between two conditions are mediated
through one or more variables. Supports within-subject mediation analysis using
the 'lavaan' package by Rosseel (2012) <doi:10.18637/jss.v048.i02>,
and extends Monte Carlo confidence interval estimation to missing data scenarios
using the 'semmcci' package by Pesigan and Cheung (2023) <doi:10.3758/s13428-023-02114-4>.

Wendie Yang

wsMed

Within-Subject Mediation Analysis Using Structural Equation
Modeling

Shu Fai Cheung

ARIVwrapper function

<dl><dt>between</dt>
<dd>Numeric matrix.
Covariance between imputations
\(\mathbf{V}_{\mathrm{between}}\).</dd>
<dt>within</dt>
<dd>Numeric matrix.
Covariance within imputations
\(\mathbf{V}_{\mathrm{within}}\).</dd>
<dt>M</dt>
<dd>Positive integer.
Number of imputations.</dd>
<dt>k</dt>
<dd>Positive integer.
Number of parameters.</dd></dl>

Arguments

Author

Average Relative Increase in Variance — ARIVwrapper

<dl>

<dt>between</dt>
<dd>Numeric matrix.
Covariance between imputations
\(\mathbf{V}_{\mathrm{between}}\).</dd>


<dt>within</dt>
<dd>Numeric matrix.
Covariance within imputations
\(\mathbf{V}_{\mathrm{within}}\).</dd>


<dt>M</dt>
<dd>Positive integer.
Number of imputations.</dd>


<dt>k</dt>
<dd>Positive integer.
Number of parameters.</dd>

</dl>

ARIVwrapper: Average Relative Increase in Variance

Description

Usage

Value

Arguments

Author

Details