bioconductor-dirichletmultinomial
Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data
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Description
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 This package is an interface to code originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2): 1-15, as discussed further in the man page for this package, ?DirichletMultinomial.
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Summary
Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data
Last Updated
Feb 8, 2026 at 18:00
License
LGPL-3
Total Downloads
248.7K
Version Downloads
95
Supported Platforms
linux-64
linux-aarch64
macOS-arm64
Unsupported Platforms
macOS-64 Last supported version: 1.48.0