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## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("DirichletMultinomial")

In most cases, you don't need to download the package archive at all.

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see DirichletMultinomial.

Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data

Bioconductor version: 3.4

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 This package is an interface to code originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2): 1-15, as discussed further in the man page for this package, ?DirichletMultinomial.

Author: Martin Morgan <martin.morgan at roswellpark.org>

Maintainer: Martin Morgan <martin.morgan at roswellpark.org>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("DirichletMultinomial")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("DirichletMultinomial")

Details

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