 properly. Because the Stan code declares <code>y</code> to be of type <code>real&lt;lower=-1, upper=1&gt;</code>, the inverse logit transform is applied to the unconstrained variable and its log absolute derivative added to the log probability. The resulting distribution on the logit-transformed <code>y</code> is well behaved.<a href="#fnref1" class="footnote-back" role="doc-backlink">↩︎</a></p></li>
</ol>
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