iHMP_Reduced

<p>A subset of data from the Integrative Human Microbiome Project</p>

datasets

A Bayesian model for examining the association between
environmental mixtures and all Taxa measured in a hierarchical
microbiome dataset in a single integrated analysis. Compared with
analyzing the associations of environmental mixtures with each Taxa
individually, 'BaHZING' controls Type 1 error rates and provides more
stable effect estimates when dealing with small sample sizes.

Jesse Goodrich

BaHZING

Bayesian Hierarchical Zero-Inflated Negative Binomial Regression
with G-Computation

Hailey Hampson

Hongxu Wang

Tanya Alderete

Shardul Nazirkar

David Conti

iHMP_Reduced function


<div class="section" id="ihmp-reduced">
<h3><code>iHMP_Reduced</code></h3><p></p><p>
</p><p>A phyloseq object with subset microbiome data for 105 participants at their
first visit.</p>
</div>


Format

iHMP_Reduced data — iHMP_Reduced


<div class='section' id='ihmp-reduced'>
<h3><code>iHMP_Reduced</code></h3>


<p>A phyloseq object with subset microbiome data for 105 participants at their
first visit.</p>
</div>


iHMP_Reduced: iHMP_Reduced data

Description

Usage

Arguments

Format

`iHMP_Reduced`