bestgrp

xval

These data objects correspond to steps in a typical work flow, as
 described in the vignette to this package. <code>fit</code> corresponds to
 <code>dmn</code> fits to different values of <code>k</code>. <code>bestgroup</code> is
 the result of the two-group generative classifier. <code>xval</code>
 summarizes leave-one-out cross validation of the classifier.

datasets

data

Dirichlet-multinomial mixture models can be used to
describe variability in microbial metagenomic data. This
package is an interface to code originally made available by
Holmes, Harris, and Quince, 2012, PLoS ONE 7(2): 1-15, as
discussed further in the man page for this package,
?DirichletMultinomial.

Martin Morgan

DirichletMultinomial

Dirichlet-Multinomial Mixture Model Machine Learning for
Microbiome Data

data function

<code>fit</code> is a list of seven <code>DMN</code> objects. <code>bestgrp</code> is a <code>DMNGroup</code> object. <code>xval</code> is a <code>data.frame</code> with columns corresponding to the
 cross-validation group membership and the Lean and Obese posterior
 probabilities.

Format

These data objects correspond to steps in a typical work flow, as
 described in the vignette to this package. <code>fit</code> corresponds to
 <code>dmn</code> fits to different values of <code>k</code>. <code>bestgroup</code> is
 the result of the two-group generative classifier. <code>xval</code>
 summarizes leave-one-out cross validation of the classifier.

data: Data objects used for examples and the vignette

Description

Usage

Arguments

Format

Examples