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MetaboCoreUtils

Bioc current

Core Utils for Metabolomics Data

v1.20.1 · software · Artistic-2.0

Release Lineage

Entered 3.13 · May 20, 2021

Current · Requires R 4.6

1.0 In 11 of 49 releases 3.23

Description

MetaboCoreUtils defines metabolomics-related core functionality provided as low-level functions to allow a data structure-independent usage across various R packages. This includes functions to calculate between ion (adduct) and compound mass-to-charge ratios and masses or functions to work with chemical formulas. The package provides also a set of adduct definitions and information on some commercially available internal standard mixes commonly used in MS experiments.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

66 40 exported

Complexity

2.8 avg / 11 max

Call network

66 nodes / 50 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

6,269

Files

88

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,547 (40.6%)Tests 1,349 (21.5%)Docs 1,641 (26.2%)Vignettes 732 (11.7%)

API

Exported functions

40

Internal functions

26

Recent export changes

v3.23+6 betaValues, guessSource, nameMapping +3 more
v3.19+8 adjust_lm, fit_lm, percentMissing +5 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.53

testthat edition

CI present

Yes

CI type

["github-actions"]

PR gated

No

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

4.0

System requirements

C++ standard

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

11

First release

2021-05-19

Latest release

2026-04-30

Avg cadence

182 days

Cold removal rate

Dep drift

5

LOC over versions

v3.13: 1,194 LOCv3.14: 2,151 LOCv3.15: 3,187 LOCv3.16: 3,562 LOCv3.17: 3,562 LOCv3.18: 3,807 LOCv3.19: 5,193 LOCv3.20: 5,193 LOCv3.21: 5,194 LOCv3.22: 5,326 LOCv3.23: 6,269 LOC

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

Documentation

Documentation
READMEYes · 66 wordsVignettesYes · dynamicpkgdown siteYesNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
10%

Topics

Depended on by (7)

CRAN (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MetaboCoreUtils")
Rainer, J., Gibb, S., Gine, R., Kumler, W., Louail, P., Salzer, L., Stravs, M., Tomè, G., Vicini, A., & Witting, M. (2026). MetaboCoreUtils: Core Utils for Metabolomics Data (Version 1.20.1) [Computer software]. https://bioconductor.org/packages/MetaboCoreUtils

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 MetaboCoreUtils version 1.20.1 [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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