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

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 This package is an interface to code originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2): 1-15, as discussed further in the man page for this package, ?DirichletMultinomial.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 <martin.morgan@roswellpark.org>
Bioconductor views Classification Clustering ImmunoOncology Metagenomics Microbiome Sequencing
MaintainerMartin Morgan <martin.morgan@roswellpark.org>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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DirichletMultinomial documentation built on Nov. 8, 2020, 7 p.m.