|
Package: DirichletMultinomial
Type: Package
Title: Dirichlet-Multinomial Mixture Model Machine Learning for
Microbiome Data
Version: 1.14.0
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package is an interface to code originally made available by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: Microbiome, Sequencing, Clustering, Classification,
Metagenomics
NeedsCompilation: yes
Packaged: 2016-05-04 04:31:18 UTC; biocbuild
● Data Source:
BioConductor
● BiocViews: Classification, Clustering, Metagenomics, Microbiome, Sequencing
●
4 images,
10 functions,
1 datasets
●
Reverse Depends: 0
|
providing 
.