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README.html
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<!-- README.md is generated from README.Rmd. Please edit that file -->
<h1 id="radaptest">R/<code>adaptest</code></h1>
<p><a href="https://travis-ci.org/wilsoncai1992/adaptest?branch=master"><img 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<blockquote>
<p>Data-adaptive statistics for multiple testing in high-dimensional problems</p>
</blockquote>
<p><strong>Authors:</strong> Wilson Cai and <a href="http://nimahejazi.org">Nima Hejazi</a></p>
<hr />
<h2 id="whats-adaptest">What’s <code>adaptest</code>?</h2>
<p>The <code>adaptest</code> R package is a tool for performing multiple testing on effect sizes under high-dimensional settings, using the approach of data-adaptive statistical target parameters and inference. For technical details on the data-adaptive multiple testing procedure, consult Cai, Hejazi, and Hubbard. For an introduction to statistical inference procedures using data-adaptive target parameters, the interested reader is directed to Hubbard, Kherad-Pajouh, and van der Laan (2016).</p>
<hr />
<h2 id="installation">Installation</h2>
<!--
For standard use, install from [Bioconductor](https://bioconductor.org):
```r
source("https://bioconductor.org/biocLite.R")
biocLite("adaptest")
```
-->
<p>Install the most recent <em>stable release</em> from GitHub via <a href="https://www.rstudio.com/products/rpackages/devtools/"><code>devtools</code></a>:</p>
<pre class="sourceCode r" id="cb1"><code class="sourceCode r"><div class="sourceLine" id="cb1-1" data-line-number="1">devtools<span class="op">::</span><span class="kw">install_github</span>(<span class="st">"wilsoncai1992/adaptest"</span>)</div></code></pre>
<hr />
<!--
## Example
This is a basic example which shows you how to solve a common problem:
```r
## basic example code
```
-->
<h2 id="issues">Issues</h2>
<p>If you encounter any bugs or have any specific feature requests, please <a href="https://github.com/wilsoncai1992/adaptest/issues">file an issue</a>.</p>
<hr />
<h2 id="contributions">Contributions</h2>
<p>It is our hope that <code>adaptest</code> will grow to be widely adopted as a tool for employing data-adaptive multiple hypothesis testing procedures in high-dimensional and complex problem settings. To that end, contributions are very welcome, though we ask that interested contributors consult our <a href="https://github.com/wilsoncai1992/adaptest/blob/master/CONTRIBUTING.md"><code>contribution guidelines</code></a> prior to submitting a pull request.</p>
<hr />
<h2 id="citation">Citation</h2>
<p>After using the <code>adaptest</code> R package, please cite it:</p>
<pre><code> @article{cai2017adaptest,
doi = {},
url = {},
year = {2017},
month = {},
publisher = {The Open Journal},
volume = {submitted},
number = {},
author = {Cai, Weixin and Hubbard, Alan E and Hejazi, Nima S},
title = {adaptest: Data-Adaptive Statistics for High-Dimensional Testing
in R},
journal = {The Journal of Open Source Software}
}
</code></pre>
<hr />
<h2 id="license">License</h2>
<p>The software contents of this repository are distributed under the GPL-2 license. See file <code>LICENSE</code> for details.</p>
<hr />
<h2 id="references">References</h2>
<p>Cai, Weixin, Nima S Hejazi, and Alan E Hubbard. “Data-Adaptive Statistics for Multiple Hypothesis Testing in High-Dimensional Settings.” <a href="https://arxiv.org/abs/1704.07008" class="uri">https://arxiv.org/abs/1704.07008</a>.</p>
<p>Hubbard, Alan E, Sara Kherad-Pajouh, and Mark J van der Laan. 2016. “Statistical Inference for Data Adaptive Target Parameters.” <em>The International Journal of Biostatistics</em> 12 (1): 3–19.</p>
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