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This is the development version of DirichletMultinomial; for the stable release version, see DirichletMultinomial.

Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data

Bioconductor version: Development (3.20)

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 This package is an interface to code originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2): 1-15, as discussed further in the man page for this package, ?DirichletMultinomial.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

Maintainer: Martin Morgan <martin.morgan at>

Citation (from within R, enter citation("DirichletMultinomial")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


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

An introduction to DirichletMultinomial PDF R Script
Reference Manual PDF


biocViews Classification, Clustering, ImmunoOncology, Metagenomics, Microbiome, Sequencing, Software
Version 1.47.0
In Bioconductor since BioC 2.11 (R-2.15) (12 years)
License LGPL-3
Depends S4Vectors, IRanges
Imports stats4, methods, BiocGenerics
System Requirements gsl
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Suggests lattice, parallel, MASS, RColorBrewer, xtable
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Depends On Me
Imports Me mia, miaViz, TFBSTools
Suggests Me bluster, MicrobiotaProcess
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Source Package DirichletMultinomial_1.47.0.tar.gz
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