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 This package is an interface to code originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2): 1-15, as discussed further in the man page for this package, ?DirichletMultinomial.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