ts_data

<p>Simulated Time-Series Data (from <code>mlts_sim</code>) for two
time-series variables.</p>

datasets

Fit multilevel manifest or latent time-series models, including popular Dynamic Structural Equation Models (DSEM).
The models can be set up and modified with user-friendly functions and are fit to the data using 'Stan' for Bayesian inference.
Path models and formulas for user-defined models can be easily created with functions using 'knitr'.
Asparouhov, Hamaker, & Muthen (2018) <doi:10.1080/10705511.2017.1406803>.

Kenneth Koslowski

mlts

Multilevel Latent Time Series Models with 'R' and 'Stan'

Fabian Münch

Tobias Koch

Jana Holtmann

ts_data function


<div class="section" id="ts-data">
<h3><code>ts_data</code></h3><p></p><p>
</p><p>A data frame with 1,100 rows and 4 columns:</p><dl>
<dt>ID</dt>
<dd><p>Unit identifier</p></dd><p></p><p><dt>time</dt>
<dd><p>Time point</p></dd></p><p><dt>Y1, Y2</dt>
<dd><p>The two time-series variables</p></dd></p><p>
</p></dl><p></p><p></p></div>


Format

Simple Time-Series Data — ts_data


<div class='section' id='ts-data'>
<h3><code>ts_data</code></h3>


<p>A data frame with 1,100 rows and 4 columns:</p><dl>
<dt>ID</dt>
<dd><p>Unit identifier</p></dd>

<dt>time</dt>
<dd><p>Time point</p></dd>

<dt>Y1, Y2</dt>
<dd><p>The two time-series variables</p></dd>


</dl>

</div>


ts_data: Simple Time-Series Data

Description

Usage

Arguments

Format

`ts_data`