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estimate_ite_tlearner.html
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<img src="" class="logo" alt=""><h1>Estimate the Individual Treatment Effect (ITE) using T-Learner</h1>
<small class="dont-index">Source: <a href="https://github.com/NSAPH-Software/CRE/blob/HEAD/R/estimate_ite_tlearner.R"><code>R/estimate_ite_tlearner.R</code></a></small>
<div class="d-none name"><code>estimate_ite_tlearner.Rd</code></div>
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<div class="ref-description section level2">
<p>Estimates the Individual Treatment Effect using T-Learner given a response
vector, a treatment vector, a features matrix and estimation model for the
outcome.</p>
</div>
<div class="section level2">
<h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
<div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">estimate_ite_tlearner</span><span class="op">(</span><span class="va">y</span>, <span class="va">z</span>, <span class="va">X</span>, learner_y <span class="op">=</span> <span class="st">"SL.xgboost"</span><span class="op">)</span></span></code></pre></div>
</div>
<div class="section level2">
<h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
<dl><dt>y</dt>
<dd><p>An observed response vector.</p></dd>
<dt>z</dt>
<dd><p>A treatment vector.</p></dd>
<dt>X</dt>
<dd><p>A features matrix.</p></dd>
<dt>learner_y</dt>
<dd><p>A estimation model for the outcome.</p></dd>
</dl></div>
<div class="section level2">
<h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
<p>A list of ITE estimates.</p>
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<p></p><p>Developed by Naeem Khoshnevis, Daniela Maria Garcia, Riccardo Cadei, Kwonsang Lee, Falco Joannes Bargagli Stoffi.</p>
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