print.powRICLPM

<code>print.powRICLPM</code> prints a table listing all experimental conditions contained in the <code>powRICLPM</code> object, as well as the frequency of the estimation problems that occurred in each.

Perform user-friendly power analyses for the random
intercept cross-lagged panel model (RI-CLPM) and the bivariate stable trait
autoregressive trait state (STARTS) model. The strategy as proposed by
Mulder (2023) <doi:10.1080/10705511.2022.2122467> is implemented. Extensions
include the use of parameter constraints over time, bounded estimation,
generation of data with skewness and kurtosis, and the option to setup the power
analysis for Mplus.

Jeroen Mulder

powRICLPM

Perform Power Analysis for the RI-CLPM and STARTS Model

Netherlands Organization for Scientific Research 

print.powRICLPM function

<dl><dt>x</dt>
<dd>A <code>powRICLPM</code> object.</dd>
<dt>...</dt>
<dd>(don't use)</dd></dl>

Arguments

Print powRICLPM Object — print.powRICLPM

<dl>

<dt>x</dt>
<dd>A <code>powRICLPM</code> object.</dd>


<dt>...</dt>
<dd>(don't use)</dd>

</dl>

print.powRICLPM: Print `powRICLPM` Object

Description

Usage

Value

Arguments