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MBECS

Bioc current

Evaluation and correction of batch effects in microbiome data-sets

v1.16.0 · Package record · software · Artistic-2.0

Release Lineage

Entered 3.15 · Apr 27, 2022

Current · Requires R 4.6

1.0 In 9 of 49 releases 3.23

Description

The Microbiome Batch Effect Correction Suite (MBECS) provides a set of functions to evaluate and mitigate unwated noise due to processing in batches. To that end it incorporates a host of batch correcting algorithms (BECA) from various packages. In addition it offers a correction and reporting pipeline that provides a preliminary look at the characteristics of a data-set before and after correcting for batch effects.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

57 33 exported

Complexity

4.4 avg / 23 max

Call network

57 nodes / 63 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

11,231

Files

99

Compiled share

0%

Has compiled src

No

Language breakdown

R 5,202 (46.3%)Tests 1,754 (15.6%)Docs 3,396 (30.2%)Vignettes 879 (7.8%)

API

Exported functions

38

Internal functions

24

Testing

Has tests

Yes

Test-to-code ratio

0.34

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

33.3%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.1

System requirements

–

C++ standard

–

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

9

First release

2022-04-26

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.15: 10,552 LOCv3.16: 10,549 LOCv3.17: 11,231 LOCv3.18: 11,231 LOCv3.19: 11,231 LOCv3.20: 11,231 LOCv3.21: 11,231 LOCv3.22: 11,231 LOCv3.23: 11,231 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 · 1,120 wordsVignettesYes · 1 · dynamicNEWSYesCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
71includes a package overview page
Examples that run
100%48 run in a plain check
Exported functions with examples
100%
Documented parameters
87%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Repository practices

Upstream repositoryBeta

Checks run against github.com/rmolbrich/mbecs on 2026-10-18.

No development-tooling practices detected in the upstream repository.

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

Datasets

Bundled datasets · 3
NameClassSizeAlso in
dummy.listlist2 elementsNo other package
dummy.mbec–––
dummy.ps–––

All of MBECS's data objects

Topics

Maintainer
Michael Olbrich

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MBECS")
Olbrich, M. (2026). MBECS: Evaluation and correction of batch effects in microbiome data-sets (Version 1.16.0) [Computer software]. https://bioconductor.org/packages/MBECS

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 MBECS version 1.16.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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