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Maaslin2

Bioc current

"Multivariable Association Discovery in Population-scale Meta-omics Studies"

v1.26.0 · software · MIT + file LICENSE

Release Lineage

Entered 3.10 · Oct 30, 2019

Current · Requires R 4.6

1.0 In 14 of 49 releases 3.23

Description

MaAsLin2 is comprehensive R package for efficiently determining multivariable association between clinical metadata and microbial meta'omic features. MaAsLin2 relies on general linear models to accommodate most modern epidemiological study designs, including cross-sectional and longitudinal, and offers a variety of data exploration, normalization, and transformation methods. MaAsLin2 is the next generation of MaAsLin.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

16 1 exported

Complexity

9.5 avg / 70 max

Call network

16 nodes / 12 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

3,227

Files

19

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,390 (74.1%)Tests 402 (12.5%)Docs 134 (4.2%)Vignettes 301 (9.3%)

API

Exported functions

1

Internal functions

11

Testing & CI

Has tests

Yes

Test-to-code ratio

0.17

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.6

System requirements

C++ standard

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

14

First release

2019-10-29

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

5

LOC over versions

v3.10: 2,720 LOCv3.11: 2,755 LOCv3.12: 2,953 LOCv3.13: 2,967 LOCv3.14: 2,983 LOCv3.15: 2,983 LOCv3.16: 2,983 LOCv3.17: 3,228 LOCv3.18: 3,228 LOCv3.19: 3,228 LOCv3.20: 3,228 LOCv3.21: 3,228 LOCv3.22: 3,227 LOCv3.23: 3,227 LOC

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

Documentation

Documentation
READMEYes · 1,288 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

Depended on by (3)

Bioconductor (2)

CRAN (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("Maaslin2")
Maharjan, S., Kuntz, T., Mallick, H., & Rahnavard, A. (2026). Maaslin2: "Multivariable Association Discovery in Population-scale Meta-omics Studies" (Version 1.26.0) [Computer software]. https://bioconductor.org/packages/Maaslin2

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 Maaslin2 version 1.26.0 [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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