ion of this model, see the section on "Model Fitting" in the
 <em>Introduction to Mixed Effect Models With WeMix</em> vignette.</p></li>
<li><p>When all weights above the individual level are 1, this is similar to a <code>lmer</code> and you should use <code>lme4</code>
because it is much faster.</p></li>
<li><p>If  starting coefficients are not provided they are estimated using <code>lme4</code>.</p></li>
<li><p>For non-linear models, when the variance of a random effect is very low (&lt;.1), WeMix doesn't