Package: DirichletMultinomial
Type: Package
Title: Dirichlet-Multinomial Mixture Model Machine Learning for
        Microbiome Data
Version: 1.36.0
Author: Martin Morgan <martin.morgan@roswellpark.org>
Maintainer: Martin Morgan <martin.morgan@roswellpark.org>
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        package is an interface to code originally made available by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.
License: LGPL-3
Depends: S4Vectors, IRanges
Imports: stats4, methods, BiocGenerics
Suggests: lattice, parallel, MASS, RColorBrewer, xtable
Collate: AllGenerics.R dmn.R dmngroup.R roc.R util.R
SystemRequirements: gsl
biocViews: ImmunoOncology, Microbiome, Sequencing, Clustering,
        Classification, Metagenomics
git_url: https://git.bioconductor.org/packages/DirichletMultinomial
git_branch: RELEASE_3_14
git_last_commit: 926baff
git_last_commit_date: 2021-10-26
Date/Publication: 2021-10-26
NeedsCompilation: yes
Packaged: 2021-10-26 21:18:04 UTC; biocbuild
Built: R 4.1.2; x86_64-pc-linux-gnu; 'Tue, 07 Dec 2021 17:41:47 +0000'; unix
