print.summary.powerNLSEM

print summary for powerNLSEM objects

Model-implied simulation-based power estimation (MSPE) for
nonlinear (and linear) SEM, path analysis and regression analysis. A
theoretical framework is used to approximate the relation between
power and sample size for given type I error rates and effect sizes.
The package offers an adaptive search algorithm to find the optimal N for
given effect sizes and type I error rates. Plots can be used to visualize
the power relation to N for different parameters of interest (POI).
Theoretical justifications are given in Irmer et al.
(2024a) <doi:10.31219/osf.io/pe5bj> and detailed description
are given in Irmer et al. (2024b) <doi:10.3758/s13428-024-02476-3>.

Julien Patrick Irmer

powerNLSEM

Simulation-Based Power Estimation (MSPE) for Nonlinear SEM

print.summary.powerNLSEM function

<dl><dt>x</dt>
<dd>Prints the summary of a <code>powerNLSEM</code> object. <code>x</code> must be of class <code>"summary.powerNLSEM"</code>.</dd>
<dt>...</dt>
<dd>Further arguments to use in <code>print</code>.</dd></dl>

Arguments

print summary for powerNLSEM objects — print.summary.powerNLSEM

<dl>

<dt>x</dt>
<dd>Prints the summary of a <code>powerNLSEM</code> object. <code>x</code> must be of class <code>"summary.powerNLSEM"</code>.</dd>


<dt>...</dt>
<dd>Further arguments to use in <code>print</code>.</dd>

</dl>

print.summary.powerNLSEM: print summary for powerNLSEM objects

Description

Usage

Value

Arguments