- recipe bioconductor-dirichletmultinomial
Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data
- Homepage:
https://bioconductor.org/packages/3.14/bioc/html/DirichletMultinomial.html
- License:
LGPL-3
- Recipe:
- Links:
biotools: dirichletmultinomial, doi: 10.1371/journal.pone.0030126
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 This package is an interface to code originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2): 1-15, as discussed further in the man page for this package, ?DirichletMultinomial.
- package bioconductor-dirichletmultinomial¶
-
- Versions:
1.36.0-2
,1.36.0-1
,1.36.0-0
,1.34.0-0
,1.32.0-1
,1.32.0-0
,1.30.0-0
,1.28.0-0
,1.26.0-1
,1.36.0-2
,1.36.0-1
,1.36.0-0
,1.34.0-0
,1.32.0-1
,1.32.0-0
,1.30.0-0
,1.28.0-0
,1.26.0-1
,1.24.1-0
,1.24.0-0
,1.22.0-0
,1.20.0-0
,1.18.0-0
,1.16.0-0
- Depends:
bioconductor-biocgenerics
>=0.40.0,<0.41.0
bioconductor-iranges
>=2.28.0,<2.29.0
bioconductor-s4vectors
>=0.32.0,<0.33.0
gsl
>=2.7,<2.8.0a0
libblas
>=3.8.0,<4.0a0
libgcc-ng
>=10.3.0
liblapack
>=3.8.0,<4.0a0
r-base
>=4.1,<4.2.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-dirichletmultinomial
and update with:
conda update bioconductor-dirichletmultinomial
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-dirichletmultinomial:<tag>
(see bioconductor-dirichletmultinomial/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-dirichletmultinomial/README.html)