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<!DOCTYPE html>
<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Estimate Probability of Censoring by Two-Phase Sampling — est_samp • txshift</title><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link href="https://cdnjs.cloudflare.com/ajax/libs/bootswatch/3.4.0/readable/bootstrap.min.css" rel="stylesheet" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Estimate Probability of Censoring by Two-Phase Sampling — est_samp"><meta property="og:description" content="Estimate Probability of Censoring by Two-Phase Sampling"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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<h1>Estimate Probability of Censoring by Two-Phase Sampling</h1>
<small class="dont-index">Source: <a href="https://github.com/nhejazi/txshift/blob/HEAD/R/fit_mechanisms.R" class="external-link"><code>R/fit_mechanisms.R</code></a></small>
<div class="hidden name"><code>est_samp.Rd</code></div>
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<div class="ref-description">
<p>Estimate Probability of Censoring by Two-Phase Sampling</p>
</div>
<div id="ref-usage">
<div class="sourceCode"><pre class="sourceCode r"><code><span class="fu">est_samp</span><span class="op">(</span><span class="va">V</span>, <span class="va">C_samp</span>, fit_type <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"sl"</span>, <span class="st">"glm"</span><span class="op">)</span>, sl_learners <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></code></pre></div>
</div>
<div id="arguments">
<h2>Arguments</h2>
<dl><dt>V</dt>
<dd><p>A <code>numeric</code> vector, <code>matrix</code>, <code>data.frame</code> or
similar object giving the observed values of the covariates known to
potentially inform the sampling mechanism.</p></dd>
<dt>C_samp</dt>
<dd><p>A <code>numeric</code> vector of observed values of the indicator
for inclusion in the second-phase sample.</p></dd>
<dt>fit_type</dt>
<dd><p>A <code>character</code> indicating whether to perform the fit
using GLMs or a Super Learner ensemble model. If use of Super Learner is
desired, then the argument <code>sl_learners</code> must be provided.</p></dd>
<dt>sl_learners</dt>
<dd><p>An <span class="pkg">sl3</span> <code>Lrnr_sl</code> object, a Super Learner
ensemble or learner instantiated externally using <span class="pkg">sl3</span>.</p></dd>
</dl></div>
<div id="value">
<h2>Value</h2>
<p>A <code>numeric</code> vector of the estimated sampling mechanism.</p>
</div>
<div id="details">
<h2>Details</h2>
<p>Compute estimates of the sampling probability for inclusion in the
the second-phase via the two-phase sampling mechanism. These estimates are
used for the creation of inverse probability weights.</p>
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