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MicrobiomeBenchmarkData

Bioc current

Datasets for benchmarking in microbiome research

v1.14.0 · Package record · experiment · Artistic-2.0

Release Lineage

Entered 3.16 · Nov 2, 2022

Current · Requires R 4.6

1.0 In 8 of 49 releases 3.23

Description

The MicrobiomeBenchmarkData package provides functionality to access microbiome datasets suitable for benchmarking. These datasets have some biological truth, which allows to have expected results for comparison. The datasets come from various published sources and are provided as TreeSummarizedExperiment objects. Currently, only datasets suitable for benchmarking differential abundance methods are available.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

7 3 exported

Complexity

2.9 avg / 7 max

Call network

7 nodes / 4 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

869

Files

31

Compiled share

0%

Has compiled src

No

Language breakdown

R 317 (36.5%)Tests 21 (2.4%)Docs 215 (24.7%)Vignettes 316 (36.4%)

API

Exported functions

3

Internal functions

4

Recent export changes

v3.20+1 scml

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

0%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.2

System requirements

–

C++ standard

–

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

8

First release

2022-11-01

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.16: 754 LOCv3.17: 754 LOCv3.18: 754 LOCv3.19: 754 LOCv3.20: 869 LOCv3.21: 869 LOCv3.22: 869 LOCv3.23: 869 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 · 65 wordsVignettesYes · 3 · dynamicNEWSYes · 67% structuredCitation fileYesWebsiteYes · pkgdown
Help pages
9 (4 internal)includes a package overview page
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%

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/waldronlab/microbiomebenchmarkdata on 2026-10-18.

Continuous integration (1)
GitHub Actions
Docs source (3)
pkgdown

GitHub Pages site last deployed 2023-04-28 · The repository has a site deploy workflow

pkgdown site last built 2023-04-28

How this is detected·Detection ruleset v3 (2026-09-26)

Datasets

Bundled datasets · 3
NameClassSizeAlso in
datasetsdata.frame6 × 5No other package
metadatadata.frame17 × 16No other package
sampleMetadataspec_tbl_df1,125 × 35No other package

1 internal object is bundled for the package's own use and not listed here.

All of MicrobiomeBenchmarkData's data objects

Topics

Maintainer
Samuel Gamboa

Available on

CRANr2uBioconductorautoCRANCOPR

Suggested by (1)

People

Cite

Cite this package

Run in R for the authors' entry:

citation("MicrobiomeBenchmarkData")

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

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 MicrobiomeBenchmarkData version 1.14.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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