Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data

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Documentation for package ‘DirichletMultinomial’ version 1.40.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

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