
<p>The location parameter <code>mu</code> is declared to be an ordered vector
in order to identify the model. This will not affect inferences that
do not depend on the ordering of the components as long as the prior
for the components <code>mu[k]</code> is symmetric, as it is here (each
component has an independent <span class="math inline">\(\mathsf{normal}(0, 10)\)</span> prior). It
would even be possible to include a hierarchical prior for the components.</p>
<p>The values in the scale array <code>sigma