est_topics_backend

<p>Backend to extract effects for <code><a rd-options="" href="/link/est.topics?package=themetagenomics&version=1.0.2" data-mini-rdoc="themetagenomics::est.topics">est.topics</a></code>.</p>

internal

A means to explore the structure of 16S rRNA surveys using a Structural
Topic Model coupled with functional prediction. The user provides an abundance
table, sample metadata, and taxonomy information, and themetagenomics infers
associations between topics and sample features, as well as topics and predicted
functional content. Functional prediction can be accomplished via Tax4Fun (for
Silva references) and PICRUSt (for GreenGeenes references). See
<doi:10.1371/journal.pone.0219235>.

Stephen Woloszynek

themetagenomics

Exploring Thematic Structure and Predicted Functionality of 16s
rRNA Amplicon Data

est_topics_backend function

<p>Backend to extract effects for <code><a rd-options='' href='est.topics'>est.topics</a></code>.</p>

Backend to extract effects for <code><a rd-options='' href='est.topics'>est.topics</a></code>. — est_topics_backend

Backend to extract effects for <code><a rd-options='' href='est.topics'>est.topics</a></code>.

Backend to extract effects for <code><a rd-options="" href="/link/est.topics?package=themetagenomics&version=1.0.2" data-mini-rdoc="themetagenomics::est.topics">est.topics</a></code>.

est_topics_backend: Backend to extract effects for `est.topics`.

Description

Usage

Arguments