e>TRUE</code> a
class-specific proportional parameter multiplies the variance-covariance
matrix in each class (the proportional parameter in the last latent class
equals 1 to ensure identifiability).</p></dd>


<dt id="arg-cor">cor<a class="anchor" aria-label="anchor" href="#arg-cor"></a></dt>
<dd><p>optional brownian motion or autoregressive process modeling the
correlation between the observations.  "BM" or "AR" should be specified,
followed by the time variable between brackets. By default, no correlatio