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

# Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data

## Documentation for package ‘DirichletMultinomial’ version 1.54.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## 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