DirichletMultinomial

This is the development version of DirichletMultinomial; for the stable release version, see DirichletMultinomial.

Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data


Bioconductor version: Development (3.21)

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 This package is an interface to code originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2): 1-15, as discussed further in the man page for this package, ?DirichletMultinomial.

Author: Martin Morgan [aut, cre] (ORCID: )

Maintainer: Martin Morgan <mtmorgan.xyz at gmail.com>

Citation (from within R, enter citation("DirichletMultinomial")):

Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("DirichletMultinomial")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("DirichletMultinomial")
DirichletMultinomial for Clustering and Classification of Microbiome Data HTML R Script
Reference Manual PDF

Details

biocViews Classification, Clustering, ImmunoOncology, Metagenomics, Microbiome, Sequencing, Software
Version 1.49.0
In Bioconductor since BioC 2.11 (R-2.15) (12 years)
License LGPL-3
Depends S4Vectors, IRanges
Imports stats4, methods, BiocGenerics
System Requirements gsl
URL https://mtmorgan.github.io/DirichletMultinomial/
Bug Reports https://github.com/mtmorgan/DirichletMultinomial/issues
See More
Suggests lattice, parallel, MASS, RColorBrewer, DT, knitr, rmarkdown, BiocStyle
Linking To
Enhances
Depends On Me
Imports Me mia, miaViz, TFBSTools
Suggests Me bluster, MicrobiotaProcess
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package DirichletMultinomial_1.49.0.tar.gz
Windows Binary (x86_64) DirichletMultinomial_1.49.0.zip
macOS Binary (x86_64) DirichletMultinomial_1.49.0.tgz
macOS Binary (arm64) DirichletMultinomial_1.49.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/DirichletMultinomial
Source Repository (Developer Access) git clone [email protected]:packages/DirichletMultinomial
Bioc Package Browser https://code.bioconductor.org/browse/DirichletMultinomial/
Package Short Url https://bioconductor.org/packages/DirichletMultinomial/
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