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CluMSID

Bioc current

Clustering of MS2 Spectra for Metabolite Identification

v1.28.0 · Package record · software · MIT + file LICENSE

Release Lineage

Entered 3.9 · May 3, 2019

Current · Requires R 4.6

1.0 In 15 of 49 releases 3.23

Description

CluMSID is a tool that aids the identification of features in untargeted LC-MS/MS analysis by the use of MS2 spectra similarity and unsupervised statistical methods. It offers functions for a complete and customisable workflow from raw data to visualisations and is interfaceable with the xmcs family of preprocessing packages.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

31 28 exported

Complexity

4.3 avg / 26 max

Call network

31 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

5,129

Files

51

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,887 (36.8%)Tests 130 (2.5%)Docs 1,156 (22.5%)Vignettes 1,956 (38.1%)

API

Exported functions

28

Internal functions

3

Recent export changes

v3.9+28 HCplot, HCtbl, MDSplot +25 more

Testing

Has tests

Yes

Test-to-code ratio

0.07

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.6

System requirements

–

C++ standard

–

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

15

First release

2019-05-02

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.9: 5,129 LOCv3.10: 5,129 LOCv3.11: 5,129 LOCv3.12: 5,129 LOCv3.13: 5,129 LOCv3.14: 5,129 LOCv3.15: 5,129 LOCv3.16: 5,129 LOCv3.17: 5,129 LOCv3.18: 5,129 LOCv3.19: 5,129 LOCv3.20: 5,129 LOCv3.21: 5,129 LOCv3.22: 5,129 LOCv3.23: 5,129 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 · 46 wordsVignettesYes · 5 · dynamicNEWSYes · 67% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
27 (3 internal)
Examples that run
100%22 run in a plain check
Exported functions with examples
100%
Documented parameters
94%
Return-value docs
100%
Help pages citing references
0%

Repository practices

Upstream repositoryBeta

Checks run against github.com/tdepke/clumsid on 2026-10-18.

No development-tooling practices detected in the upstream repository.

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

Topics

Maintainer
Tobias Depke

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CluMSID")
Depke, T., Broenstrup, M., & Franke, R. (2026). CluMSID: Clustering of MS2 Spectra for Metabolite Identification (Version 1.28.0) [Computer software]. https://bioconductor.org/packages/CluMSID

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 CluMSID version 1.28.0 [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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