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MSstatsQC

Bioc current

Longitudinal system suitability monitoring and quality control for proteomic experiments

v2.30.0 · Package record · software · Artistic License 2.0

Release Lineage

Entered 3.6 · Oct 31, 2017

Current · Requires R 4.6

1.0 In 18 of 49 releases 3.23

Description

MSstatsQC is an R package which provides longitudinal system suitability monitoring and quality control tools for proteomic experiments.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

48 14 exported

Complexity

3.7 avg / 11 max

Call network

48 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

3,734

Files

169

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,287 (61.2%)Tests 185 (5%)Docs 772 (20.7%)Vignettes 490 (13.1%)

API

Exported functions

14

Internal functions

34

Recent export changes

v3.8+2 MissingDataMap, RemoveMissing
v3.6+8 CUSUMChart, ChangePointEstimator, DataProcess +5 more

Testing

Has tests

Yes

Test-to-code ratio

0.08

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

–

System requirements

–

C++ standard

–

License

Artistic License 2.0

License flags

not SPDX, not OSI

History

Versions

18

First release

2018-03-08

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

7

LOC over versions

v3.6: 2,318 LOCv3.7: 2,297 LOCv3.8: 2,893 LOCv3.9: 2,893 LOCv3.10: 2,578 LOCv3.11: 2,561 LOCv3.12: 2,561 LOCv3.13: 2,561 LOCv3.14: 2,561 LOCv3.15: 2,561 LOCv3.16: 2,561 LOCv3.17: 2,561 LOCv3.18: 2,561 LOCv3.19: 2,561 LOCv3.20: 2,561 LOCv3.21: 2,561 LOCv3.22: 2,561 LOCv3.23: 3,734 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 · 222 wordsVignettesYes · 1 · dynamicNEWSYes · 0% structuredCitation fileNoWebsiteYes
Help pages
18
Examples that run
89%16 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
6%

Repository practices

Bioconductor git repository

Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.

No development-tooling practices detected in the Bioconductor git repository.

Datasets

Bundled datasets · 4
NameClassSizeAlso in
QCloudDDAdata.frame390 × 8No other package
QCloudSRMdata.frame387 × 7No other package
QuiCDIAdata.frame528 × 30No other package
S9Site54data.frame676 × 8No other package

All of MSstatsQC's data objects

Topics

Maintainer
Eralp Dogu

Available on

CRANr2uBioconductorautoCRANCOPR

Depended on by (1)

Bioconductor (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MSstatsQC")
Dogu, E., Taheri, S., & Vitek, O. (2026). MSstatsQC: Longitudinal system suitability monitoring and quality control for proteomic experiments (Version 2.30.0) [Computer software]. https://bioconductor.org/packages/MSstatsQC

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 MSstatsQC version 2.30.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

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.

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