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Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data

Bioconductor version: Release (3.0)

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 This package is an interface to code originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2): 1-15, as discussed further in the man page for this package, ?DirichletMultinomial.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

Maintainer: Martin Morgan <mtmorgan at>

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PDF An introduction to DirichletMultinomial
PDF   Reference Manual


biocViews Classification, Clustering, Sequencing, Software
Version 1.8.0
In Bioconductor since BioC 2.11 (R-2.15)
License LGPL-3
Depends S4Vectors, IRanges
Imports stats4, methods
Suggests lattice, parallel, MASS, RColorBrewer, xtable
SystemRequirements gsl
Depends On Me
Imports Me TFBSTools
Suggests Me

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