By using an example for urge to smoke in the McNeish and
Hamaker (2020), this data set is a simulated subset. It
consists of 10 repetitions on regular time scales for 20
different individuals. For response variable, urge to Smoke is on a standardized scale average 0
and the standard deviation 1.

We present this package for fitting structural equation models using the hierarchical likelihood method. This package allows extended structural equation model, including dynamic structural equation model. We illustrate the use of our packages with well-known data sets. Therefore, this package are able to handle two serious problems inadmissible solution and factor indeterminacy <doi:10.3390/sym13040657>.

Rezzy Eko Caraka

hsem

Hierarchical Structural Equation Model

Maengseok Noh

Youngjo Lee

ml2 function

A data frame with 200 observations on the following 6 variables.<dl class="dl-horizontal">
 <dt><code>urge</code></dt><dd>standardized urge to smoke</dd> 
 <dt><code>urge1</code></dt><dd>previous urge to smoke</dd> 
 <dt><code>dep</code></dt><dd>standardized depression</dd> 
 <dt><code>dep1</code></dt><dd>previous depression</dd>
 <dt><code>id</code></dt><dd>individual indicator</dd>
 <dt><code>time</code></dt><dd>time indicator</dd> 
 </dl>

Format

simulated urge to smoke data — ml2

A data frame with 200 observations on the following 6 variables.<dl class='dl-horizontal'>
 <dt><code>urge</code></dt><dd>standardized urge to smoke</dd> 
 <dt><code>urge1</code></dt><dd>previous urge to smoke</dd> 
 <dt><code>dep</code></dt><dd>standardized depression</dd> 
 <dt><code>dep1</code></dt><dd>previous depression</dd>
 <dt><code>id</code></dt><dd>individual indicator</dd>
 <dt><code>time</code></dt><dd>time indicator</dd> 
 </dl>

ml2: simulated urge to smoke data

Description

Usage

Arguments

Format