DirichletMultinomial: Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data
Version 1.18.0

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 This package is an interface to code originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2): 1-15, as discussed further in the man page for this package, ?DirichletMultinomial.

Package details

AuthorMartin Morgan <[email protected]>
Bioconductor views Classification Clustering Metagenomics Microbiome Sequencing
MaintainerMartin Morgan <[email protected]>
Package repositoryView on Bioconductor
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DirichletMultinomial documentation built on May 31, 2017, 3:34 p.m.