ned space</a> and runs the optimization algorithm in the unconstrained space.</p>
<p>The <code>jacobian</code> argument specifies whether or not the call to the model’s log probability function should include the log absolute Jacobian determinant of <a href="https://mc-stan.org/docs/reference-manual/transforms.html">inverse parameter transforms</a>.</p>
<p>If the Jacobian adjustment is not included (the default), the optimization returns parameter values that correspond to a mode of the target in the cons