Package: DirichletMultinomial 1.47.0

Martin Morgan

DirichletMultinomial: Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data

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 This package is an interface to code originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2): 1-15, as discussed further in the man page for this package, ?DirichletMultinomial.

Authors:Martin Morgan <[email protected]>

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DirichletMultinomial.pdf |DirichletMultinomial.html✨
DirichletMultinomial/json (API)

# Install 'DirichletMultinomial' in R:
install.packages('DirichletMultinomial', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • gsl– GNU Scientific Library (GSL)
Datasets:
  • bestgrp - Data objects used for examples and the vignette
  • fit - Data objects used for examples and the vignette
  • xval - Data objects used for examples and the vignette

On BioConductor:DirichletMultinomial-1.47.0(bioc 3.20)DirichletMultinomial-1.46.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

16 exports 3.78 score 3 dependencies 26 dependents 9 mentions

Last updated 2 months agofrom:c72408ce5e

Exports:AICBICcsubsetcvdmngroupdmndmngroupfittedgoodnessOfFitheatmapdmnlaplacemixturemixturewtpredictrocshowsummary

Dependencies:BiocGenericsIRangesS4Vectors

An introduction to DirichletMultinomial

Rendered fromDirichletMultinomial.Rnwusingutils::Sweaveon Jun 18 2024.

Last update: 2015-12-22
Started: 2013-11-01

Readme and manuals

Help Manual

Help pageTopics
Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome DataDirichletMultinomial-package
Cross-validation on Dirichlet-Multinomial classifiers.cvdmngroup
Data objects used for examples and the vignettebestgrp fit xval
Fit Dirichlet-Multinomial models to count data.dmn
Class '"DMN"'DMN-class
Dirichlet-Multinomial generative classifiers.dmngroup
Class '"DMNGroup"'DMNGroup-class
Heatmap representation of samples assigned to Dirichlet components.heatmapdmn
Access model components.AIC,DMN-method BIC,DMN-method fitted,DMN-method fitted,DMNGroup-method goodnessOfFit laplace mixture mixturewt predict,DMN-method predict,DMNGroup-method show,DMN-method show,DMNGroup-method summary,DMNGroup-method
Summarize receiver-operator characteristicsroc
Helpful utility functionscsubset