 weights for each observation (optional).</p></dd>


<dt id="arg-cores">cores<a class="anchor" aria-label="anchor" href="#arg-cores"></a></dt>
<dd><p>integer; if <code>cores &gt; 1</code>, estimation will be parallelized
within each tree (using <code><a href="https://rdrr.io/r/parallel/clusterApply.html" class="external-link">parallel::parLapply()</a></code>). However, the
overhead caused by parallelization is likely to make the function run slower
unless sample size is really large and <code>method = "itau