summarize_mc_ci

Computes summary statistics for Monte Carlo simulation results, including
the mean estimate, standard error (SE), and confidence intervals (CIs).

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

summarize_mc_ci function

<dl><dt>mc_result</dt>
<dd>A data frame where each column corresponds to a parameter, and each row
represents one Monte Carlo replication of that parameter's estimate.</dd>
<dt>alpha</dt>
<dd>Numeric. Significance level used to compute the (1 - alpha) confidence interval.
Default is 0.05 for a 95% confidence interval.</dd></dl>

Arguments

Summarize Monte Carlo Simulation Results — summarize_mc_ci

<dl>

<dt>mc_result</dt>
<dd>A data frame where each column corresponds to a parameter, and each row
represents one Monte Carlo replication of that parameter's estimate.</dd>


<dt>alpha</dt>
<dd>Numeric. Significance level used to compute the (1 - alpha) confidence interval.
Default is 0.05 for a 95% confidence interval.</dd>

</dl>

summarize_mc_ci: Summarize Monte Carlo Simulation Results

Description

Usage

Value

Arguments