DirichletMultinomial
Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data
Bioconductor version: 3.24 · Package version: 1.55.1
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 This package is an interface to code originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2): 1-15, as discussed further in the man page for this package, ?DirichletMultinomial.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("DirichletMultinomial") Details
| Maintainer | Martin Morgan <mtmorgan.xyz@gmail.com> |
| Author | Martin Morgan [aut, cre] (ORCID: <https://orcid.org/0000-0002-5874-8148>) |
| License | LGPL-3 |
| URL | https://mtmorgan.github.io/DirichletMultinomial/ |
| Bug Reports | https://github.com/mtmorgan/DirichletMultinomial/issues |
| System Requirements | gsl |
| Downloads rank | 5789 |
| Source branch | devel |
| biocViews | Classification, Clustering, ImmunoOncology, Metagenomics, Microbiome, Sequencing, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | DirichletMultinomial_1.55.1.tar.gz |
| Windows binary (x86_64) | DirichletMultinomial_1.55.0.zip |
| macOS binary (arm64) | DirichletMultinomial_1.55.1.tgz |
| macOS binary (x86_64) | DirichletMultinomial_1.55.1.tgz |
Dependencies
Imports: stats4, methods, BiocGenerics
Suggests: lattice, parallel, MASS, RColorBrewer, DT, knitr, rmarkdown, BiocStyle
Reverse dependencies
Imports Me (3): mia, miaViz, TFBSTools
Suggests Me (2): bluster, MicrobiotaProcess