Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data

Bioconductor version: Release (2.11)

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 This package is an interface to code originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2): 1-15, as discussed further in the man page for this package, ?DirichletMultinomial.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


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PDF An introduction to DirichletMultinomial
PDF   Reference Manual


biocViews Classification, Clustering, HighThroughputSequencing, Software
Version 1.0.0
In Bioconductor since BioC 2.11 (R-2.15)
License LGPL-3
Depends IRanges
Imports stats4, methods
Suggests lattice, parallel, MASS, RColorBrewer, xtable
System Requirements gsl
Depends On Me
Imports Me
Suggests Me

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