VT.forest

An abstract reference class to compute twin via random forests<code>VT.forest</code> extends <code>VT.difft</code>

Research of subgroups in random clinical trials with binary outcome and two treatments groups. This is an adaptation of the Jared Foster method (<https://www.ncbi.nlm.nih.gov/pubmed/21815180>).

Francois Vieille

aVirtualTwins

Adaptation of Virtual Twins Method from Jared Foster

Jared Foster

VT.forest function

<dl class="dl-horizontal">
<dt><code>...</code></dt><dd>see fields of <code><a rd-options="" href="/link/VT.difft?package=aVirtualTwins&version=1.0.1" data-mini-rdoc="aVirtualTwins::VT.difft">VT.difft</a></code></dd>
</dl>

Fields

<dl class="dl-horizontal">
<dt><code>checkModel(model)</code></dt><dd>Checking model class: Must be : train, RandomForest, randomForest</dd></dl><dt><code>getFullData()</code></dt><dd>Return twin1, twin2 and difft in column</dd><dt><code>run()</code></dt><dd>Compute twin1 and twin2 estimation. Switch treatment if necessary.</dd>

VT.forest: Difft by Random Forest

Description

Arguments

Fields

Methods

See Also