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        package is an interface to code originally made available by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.
lattice, parallel, MASS, RColorBrewer, xtable
AllGenerics.R dmn.R dmngroup.R roc.R util.R
ImmunoOncology, Microbiome, Sequencing, Clustering,
Classification, Metagenomics