TotalAdjwrapper

Adjusted Total Sampling Covariance Matrix

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

TotalAdjwrapper function

<dl><dt>ariv</dt>
<dd>Numeric.
Average relative increase in variance.</dd>
<dt>within</dt>
<dd>Numeric matrix.
Covariance within imputations
\(\mathbf{V}_{\mathrm{within}}\).</dd></dl>

Arguments

Author

Adjusted Total Sampling Covariance Matrix — TotalAdjwrapper

<dl>

<dt>ariv</dt>
<dd>Numeric.
Average relative increase in variance.</dd>


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

</dl>

TotalAdjwrapper: Adjusted Total Sampling Covariance Matrix

Description

Usage

Arguments

Author

Details