RandomGaussianSVDwrapper

Generate Random Variates from the Gaussian Distribution
(Singular Value Decomposition)

internal

random

randomGaussian

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

RandomGaussianSVDwrapper function

<dl><dt>Z</dt>
<dd>Numeric matrix.
<code>n</code> by <code>k</code> matrix of independent random variates
from the standard univariate normal distribution
\(\mathbf{Z}\).</dd>
<dt>svd</dt>
<dd>Object.
Result of <code><a href="/link/svd()?package=wsMed&version=1.0.2" data-mini-rdoc="wsMed::svd()">svd()</a></code>.</dd></dl>

Arguments

Author

Generate Random Variates from the Gaussian Distribution
(Singular Value Decomposition) — RandomGaussianSVDwrapper

<dl>

<dt>Z</dt>
<dd>Numeric matrix.
<code>n</code> by <code>k</code> matrix of independent random variates
from the standard univariate normal distribution
\(\mathbf{Z}\).</dd>


<dt>svd</dt>
<dd>Object.
Result of <code><a href='https://rdrr.io/r/base/svd.html'>svd()</a></code>.</dd>

</dl>

RandomGaussianSVDwrapper: Generate Random Variates from the Gaussian Distribution (Singular Value Decomposition)

Description

Usage

Value

Arguments

Author