print.DataRFClassifier

Information of the constructed Random Forest classification model

Provides tools specifically designed for analyzing longitudinal microbiome data. This tool integrates seven functional modules, providing a systematic framework for microbiome time-series analysis. For more details on inferences involving interspecies interactions see Fisher (2014) <doi:10.1371/journal.pone.0102451>. Details on this package are also described in an unpublished manuscript.

Shijia Li

MicrobTiSDA

Microbiome Time-Series Data Analysis

print.DataRFClassifier function

<dl><dt>x</dt>
<dd>An object of class DataRFClassifier</dd>
<dt>...</dt>
<dd>Additional arguments</dd></dl>

Arguments

Information of the constructed Random Forest classification model — print.DataRFClassifier

<dl>

<dt>x</dt>
<dd>An object of class DataRFClassifier</dd>


<dt>...</dt>
<dd>Additional arguments</dd>

</dl>

print.DataRFClassifier: Information of the constructed Random Forest classification model

Description

Usage

Value

Arguments