bootstrap_sd_list

Performs bootstrap sampling to estimate SDs of variables used in standardization.

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

bootstrap_sd_list function

<dl><dt>data</dt>
<dd>A data frame.</dd>
<dt>var_names</dt>
<dd>A character vector of variable names.</dd>
<dt>nboot</dt>
<dd>Integer. Number of bootstrap samples.</dd>
<dt>seed</dt>
<dd>Integer. Random seed.</dd></dl>

Arguments

Bootstrap Standard Deviations for Standardization — bootstrap_sd_list

<dl>

<dt>data</dt>
<dd>A data frame.</dd>


<dt>var_names</dt>
<dd>A character vector of variable names.</dd>


<dt>nboot</dt>
<dd>Integer. Number of bootstrap samples.</dd>


<dt>seed</dt>
<dd>Integer. Random seed.</dd>

</dl>

bootstrap_sd_list: Bootstrap Standard Deviations for Standardization

Description

Usage

Value

Arguments