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ADAPT

Bioc current

Analysis of Microbiome Differential Abundance by Pooling Tobit Models

v1.6.0 · software · MIT + file LICENSE

Release Lineage

Entered 3.20 · Oct 30, 2024

Current · Requires R 4.6

1.0 In 4 of 49 releases 3.23

Description

ADAPT carries out differential abundance analysis for microbiome metagenomics data in phyloseq format. It has two innovations. One is to treat zero counts as left censored and use Tobit models for log count ratios. The other is an innovative way to find non-differentially abundant taxa as reference, then use the reference taxa to find the differentially abundant ones.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

33 1 exported

Complexity

4 avg / 11 max

Call network

33 nodes / 10 edges

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

Loading call graph…

Lowest coverage

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

Code

Structure

Lines of code

1,465

Files

36

Compiled share

33.3%

Has compiled src

Yes

Language breakdown

R 552 (37.7%)C/C++/src 488 (33.3%)Tests 39 (2.7%)Docs 221 (15.1%)Vignettes 165 (11.3%)

API

Exported functions

1

Internal functions

6

Recent export changes

v3.20+1 adapt

Testing

Has tests

Yes

Test-to-code ratio

0.07

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

75%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.1.0

System requirements

–

C++ standard

–

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

4

First release

2024-10-29

Latest release

2026-04-28

Avg cadence

181 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.20: 1,465 LOCv3.21: 1,465 LOCv3.22: 1,465 LOCv3.23: 1,465 LOC

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

Documentation

In the Bioconductor 3.23 release
READMEYes · 136 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
6
Examples that run
100%3 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Repository practices

Bioconductor git repository

Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.

No development-tooling practices detected in the Bioconductor git repository.

Datasets

Bundled datasets · 2
NameClassSizeAlso in
ecc_plaque–––
ecc_saliva–––

3 internal objects are bundled for the package's own use and not listed here.

All of ADAPT's data objects

Topics

Maintainer
Mukai Wang

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("ADAPT")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1101/2024.05.14.594186.

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 ADAPT version 1.6.0 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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