class correlation;</p></li>
<li><p><code>epsilon</code> to compute the sphericity measure;</p></li>
<li><p><code>lambda</code> to compute the cluster-sampling adjustment;</p></li>
<li><p><code>MauchlySphericityTest</code> to perform a test of sphericity;</p></li>
<li><p><code>WinerCompoundSymmetry</code> to perform a test of compound symmetry;</p></li>
</ul><p>and example datasets described in the paper:</p><ul><li><p><code>dataFigure1</code> illustrate the paradox of using stand-alone CI in between-group d