demo_joy

This is a simple dataset with random data, used simply to illustrate the
design of multimedia. There is no real association between any treatments,
mediators, or outcomes. It always returns a single outcome (PHQ)
SummarizedExperiment, and it randomly assigns samples to Treatment and
Control (see the colData). It stores all the hypothetical mediator data in
the assay slot.

Multimodal mediation analysis is an emerging problem in microbiome data analysis. Multimedia make advanced mediation analysis techniques easy to use, ensuring that all statistical components are transparent and adaptable to specific problem contexts. The package provides a uniform interface to direct and indirect effect estimation, synthetic null hypothesis testing, bootstrap confidence interval construction, and sensitivity analysis. More details are available in Jiang et al. (2024) "multimedia: Multimodal Mediation Analysis of Microbiome Data" <doi:10.1101/2024.03.27.587024>.

Kris Sankaran

multimedia

Multimodal Mediation Analysis

Hanying Jiang

demo_joy function

<dl><dt>n_samples</dt>
<dd>How many random samples to generate?</dd>
<dt>n_mediators</dt>
<dd>How many random mediators to generate?</dd>
<dt>n_pretreatment</dt>
<dd>How many random pretreatment variables?</dd></dl>

Arguments

A Demo Dataset (Random) — demo_joy

<dl>

<dt>n_samples</dt>
<dd>How many random samples to generate?</dd>


<dt>n_mediators</dt>
<dd>How many random mediators to generate?</dd>


<dt>n_pretreatment</dt>
<dd>How many random pretreatment variables?</dd>

</dl>

demo_joy: A Demo Dataset (Random)

Description

Usage

Value

Arguments

Examples