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DirichletMultinomial

Bioc current

Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data

v1.54.0 · software · LGPL-3

Release Lineage

Entered 2.11 · Oct 3, 2012

Current · Requires R 4.6

1.0 In 28 of 49 releases 3.23

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 This package is an interface to code originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2): 1-15, as discussed further in the man page for this package, ?DirichletMultinomial.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

34 10 exported

Complexity

2 avg / 4 max

Call network

34 nodes / 27 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

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Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

2,049

Files

36

Compiled share

35.3%

Has compiled src

Yes

Language breakdown

R 343 (16.7%)C/C++/src 723 (35.3%)Docs 727 (35.5%)Vignettes 256 (12.5%)

API

Exported functions

12

Internal functions

4

Testing & CI

Has tests

No

Test-to-code ratio

0.00

testthat edition

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

Docs

Roxygen coverage

83.3%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

100%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

System requirements

1

C++ standard

License

LGPL-3

License flags

SPDX valid, OSI approved

History

Versions

28

First release

2012-10-01

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

2

LOC over versions

v2.11: 1,753 LOCv2.12: 1,753 LOCv2.13: 1,753 LOCv2.14: 2,097 LOCv3.0: 2,097 LOCv3.1: 2,097 LOCv3.2: 2,098 LOCv3.3: 2,103 LOCv3.4: 2,103 LOCv3.5: 2,103 LOCv3.6: 2,103 LOCv3.7: 2,106 LOCv3.8: 2,106 LOCv3.9: 2,106 LOCv3.10: 2,106 LOCv3.11: 2,106 LOCv3.12: 2,106 LOCv3.13: 2,105 LOCv3.14: 2,105 LOCv3.15: 2,105 LOCv3.16: 2,105 LOCv3.17: 2,105 LOCv3.18: 2,105 LOCv3.19: 2,105 LOCv3.20: 2,049 LOCv3.21: 2,049 LOCv3.22: 2,049 LOCv3.23: 2,049 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

Documentation
READMEYes · 108 wordsVignettesYes · dynamicpkgdown siteYesNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
97%
Return-value docs
86%
References docs
18%

Topics

Depended on by (5)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("DirichletMultinomial")
Morgan, M. (2026). DirichletMultinomial: Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data (Version 1.54.0) [Computer software]. https://bioconductor.org/packages/DirichletMultinomial

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for DirichletMultinomial version 1.54.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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