simulateNLSEM

simulate data from lavModel object

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

simulateNLSEM function

<dl><dt>n</dt>
<dd>sample size</dd>
<dt>lavModel</dt>
<dd>lavModel object</dd>
<dt>appendLVs</dt>
<dd>logical whether latent variables should be observed. Default to <code>FALSE</code>. (For developmental purposes)</dd>
<dt>lavModel_attributes</dt>
<dd>attributes of the lavModel object. If <code>NULL</code>, this is computed from lavModel. Default to <code>NULL</code>.</dd>
<dt>matrices</dt>
<dd>computed matrices for simulation. If <code>NULL</code>, this is computed from lavModel and lavModel_attributes. Default to <code>NULL</code>.</dd>
<dt>seed</dt>
<dd>a seed for reproducability. Default to <code>NULL</code>.</dd></dl>

Arguments

simulate data from lavModel object — simulateNLSEM

<dl>

<dt>n</dt>
<dd>sample size</dd>


<dt>lavModel</dt>
<dd>lavModel object</dd>


<dt>appendLVs</dt>
<dd>logical whether latent variables should be observed. Default to <code>FALSE</code>. (For developmental purposes)</dd>


<dt>lavModel_attributes</dt>
<dd>attributes of the lavModel object. If <code>NULL</code>, this is computed from lavModel. Default to <code>NULL</code>.</dd>


<dt>matrices</dt>
<dd>computed matrices for simulation. If <code>NULL</code>, this is computed from lavModel and lavModel_attributes. Default to <code>NULL</code>.</dd>


<dt>seed</dt>
<dd>a seed for reproducability. Default to <code>NULL</code>.</dd>

</dl>

simulateNLSEM: simulate data from lavModel object

Description

Usage

Value

Arguments