DOI: 10.18129/B9.bioc.DirichletMultinomial  

Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data

Bioconductor version: Release (3.17)

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 This package is an interface to code originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2): 1-15, as discussed further in the man page for this package, ?DirichletMultinomial.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

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


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PDF R Script An introduction to DirichletMultinomial
PDF   Reference Manual


biocViews Classification, Clustering, ImmunoOncology, Metagenomics, Microbiome, Sequencing, Software
Version 1.42.0
In Bioconductor since BioC 2.11 (R-2.15) (11 years)
License LGPL-3
Depends S4Vectors, IRanges
Imports stats4, methods, BiocGenerics
Suggests lattice, parallel, MASS, RColorBrewer, xtable
SystemRequirements gsl
Depends On Me
Imports Me mia, miaViz, TFBSTools
Suggests Me MicrobiotaProcess
Links To Me
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Source Package DirichletMultinomial_1.42.0.tar.gz
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Bioc Package Browser https://code.bioconductor.org/browse/DirichletMultinomial/
Package Short Url https://bioconductor.org/packages/DirichletMultinomial/
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