batchCorr
Bioc currentWithin And Between Batch Correction Of LC-MS Metabolomics Data
Release Lineage
Entered 3.22 · Oct 30, 2025
Current · Requires R 4.6
Description
From the perspective of metabolites as the continuation of the central dogma of biology, metabolomics provides the closest link to many phenotypes of interest. This makes metabolomics research promising in teasing apart the complexities of living systems. However, due to experimental reasons, the data includes non-biological variation which limits quality and reproducibility, especially if the data is obtained from several batches. The batchCorr package reduces unwanted variation by way of between-batch alignment, within-batch drift correction and between-batch normalization using batch-specific quality control samples and long-term reference QC samples. Please see the associated article for more thorough descriptions of algorithms.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
29 3 exported
Complexity
6 avg / 22 max
Call network
29 nodes / 29 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
3,684
Files
35
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
6
Internal functions
26
Recent export changes
Testing
Has tests
Yes
Test-to-code ratio
0.18
testthat edition
–
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
4.4.0
System requirements
–
C++ standard
–
License
GPL-2
License flags
SPDX valid, OSI approved
History
Versions
2
First release
2025-10-29
Latest release
2026-04-28
Avg cadence
181 days
Cold removal rate
–
Dep drift
0
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Help pages
- 7
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 92%
- Return-value docs
- 100%
- Help pages citing references
- 14%
- Introduction.html HTML
Repository practices
Checks run against github.com/metabocomp/batchcorr on 2026-10-21.
No development-tooling practices detected in the upstream repository.
Datasets
Topics
Suggested by (1)
People
- Anton Ribbenstedt maintainer
- Carl Brunius author
- Vilhelm Suksi author
Cite
Cite this package
Run in R for the authors' entry:
citation("batchCorr")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.3390/metabo10040135, 10.1007/s11306-016-1124-4.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.