 purposes. </p>
<ol>
<li>
<p>Easy access to <em>fast simulators of sequential sampling models</em></p>
</li>
<li>
<p>Support infrastructure to construct training data for various approaches to likelihood / posterior amortization</p>
</li>
</ol>
<p>We provide two minimal examples here to illustrate how to use each of the two capabilities.</p>
<h4 id="install">Install</h4>
<p>Let's start with <em>installing</em> the <code>ssms</code> package.</p>
<p>You can do so by typing,</p>
<p><code>pip install git+https: