med_dat

<p>A toy dataset for demonstrating mediation analysis in settings where there
are multiple mediators</p>

datasets

A suite of functions for performing mediation
analysis with high-dimensional mediators. In addition to centralizing code
from several existing packages for high-dimensional mediation analysis, we
provide organized, well-documented functions for a handle of methods
which, though programmed their original authors, have not previously been
formalized into R packages or been made presentable for public use. The
methods we include cover a broad array of approaches and objectives, and are
described in detail by both our companion manuscript---"Methods for
Mediation Analysis with High-Dimensional DNA Methylation Data: Possible
Choices and Comparison"---and the original publications that proposed them.
The specific methods offered by our package include the Bayesian sparse
linear mixed model (BSLMM) by Song et al. (2019); high-dimensional mediation
analysis (HDMA) by Gao et al. (2019); high-dimensional multivariate
mediation (HDMM) by Chén et al. (2018); high-dimensional linear mediation
analysis (HILMA) by Zhou et al. (2020); high-dimensional mediation analysis
(HIMA) by Zhang et al. (2016); latent variable mediation analysis (LVMA) by
Derkach et al. (2019); mediation by fixed-effect model (MedFix) by
Zhang (2021); pathway LASSO by Zhao & Luo (2022); principal component
mediation analysis (PCMA) by Huang & Pan (2016); and sparse principal
component mediation analysis (SPCMA) by Zhao et al. (2020). Citations for
the corresponding papers can be found in their respective functions.

Dylan Clark-Boucher

hdmed

Methods for Mediation Analysis with High-Dimensional Mediators

Mike Kleinsasser

med_dat function


<div class="section" id="med-dat">
<h3><code>med_dat</code></h3><p></p><p>
</p><p>A list with three items:</p><dl>
<dt>Y</dt>
<dd><p>numeric vector containing the outcome variable</p></dd><p></p><p><dt>M</dt>
<dd><p>numeric matrix of 20 continuous mediators</p></dd></p><p><dt>A</dt>
<dd><p>numeric vector containing the exposure variable</p></dd></p><p>...</p><p></p></dl><p></p><p></p></div>


Format

Mediation Example Dataset — med_dat


<div class='section' id='med-dat'>
<h3><code>med_dat</code></h3>


<p>A list with three items:</p><dl>
<dt>Y</dt>
<dd><p>numeric vector containing the outcome variable</p></dd>

<dt>M</dt>
<dd><p>numeric matrix of 20 continuous mediators</p></dd>

<dt>A</dt>
<dd><p>numeric vector containing the exposure variable</p></dd>

...

</dl>

</div>


med_dat: Mediation Example Dataset

Description

Usage

Arguments

Format

`med_dat`