DirichletMultinomial

Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data

Bioconductor version: Release (2.12)

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 This package is an interface to code originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2): 1-15, as discussed further in the man page for this package, ?DirichletMultinomial.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

Maintainer: Martin Morgan <mtmorgan at fhcrc.org>

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("DirichletMultinomial")

To cite this package in a publication, start R and enter:

    citation("DirichletMultinomial")

Documentation

PDF		An introduction to DirichletMultinomial
PDF		Reference Manual

Details

biocViews	Classification, Clustering, HighThroughputSequencing, Software
Version	1.2.0
In Bioconductor since	BioC 2.11 (R-2.16)
License	LGPL-3
Depends	IRanges
Imports	stats4, methods
Suggests	lattice, parallel, MASS, RColorBrewer, xtable
System Requirements	gsl
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Package Downloads

Package Source	DirichletMultinomial_1.2.0.tar.gz
Windows Binary	DirichletMultinomial_1.2.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	DirichletMultinomial_1.2.0.tgz
Package Downloads Report	Download Stats

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