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MSstatsLiP

Bioc current

LiP Significance Analysis in shotgun mass spectrometry-based proteomic experiments

v1.18.0 · Package record · software · Artistic-2.0

Release Lineage

Entered 3.14 · Oct 27, 2021

Current · Requires R 4.6

1.0 In 10 of 49 releases 3.23

Description

Tools for LiP peptide and protein significance analysis. Provides functions for summarization, estimation of LiP peptide abundance, and detection of changes across conditions. Utilizes functionality across the MSstats family of packages.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

42 18 exported

Complexity

5.1 avg / 26 max

Call network

42 nodes / 33 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

8,353

Files

77

Compiled share

2.1%

Has compiled src

Yes

Language breakdown

R 3,309 (39.6%)C/C++/src 172 (2.1%)Tests 4 (0%)Docs 1,854 (22.2%)Vignettes 3,014 (36.1%)

API

Exported functions

18

Internal functions

21

Testing

Has tests

Yes

Test-to-code ratio

0.00

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

4.5%

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

10

First release

2021-10-26

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

2

LOC over versions

v3.14: 4,399 LOCv3.15: 6,174 LOCv3.16: 7,838 LOCv3.17: 7,838 LOCv3.18: 8,008 LOCv3.19: 8,008 LOCv3.20: 8,008 LOCv3.21: 8,008 LOCv3.22: 8,342 LOCv3.23: 8,353 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 · 68 wordsVignettesYes · 2 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
27 (1 internal)includes a package overview page
Examples that run
100%26 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/vitek-lab/msstatslip on 2026-10-21.

Continuous integration (1)
GitHub Actions
Governance and community (2)
Contributing guide (inherited from vitek-lab)PR template
How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 8
NameClassSizeAlso in
LiPRawDatadata.table422 × 29No other package
MSstatsLiP_Summarizedlist2 elementsNo other package
MSstatsLiP_datalist2 elementsNo other package
MSstatsLiP_modellist3 elementsNo other package
SkylineTestdata.table2,115 × 13No other package
TrPRawDatadata.table911 × 29No other package
raw_lipspec_tbl_df6,944 × 29No other package
raw_protspec_tbl_df9,120 × 29No other package

All of MSstatsLiP's data objects

Topics

Maintainer
Anthony Wu

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MSstatsLiP")
Wu, A., Cappelletti, V., Choi, M., Huang, T., Kohler, D., Malinovska, L., Raju, D., Staniak, M., Tsai, T., & Vitek, O. (2026). MSstatsLiP: LiP Significance Analysis in shotgun mass spectrometry-based proteomic experiments (Version 1.18.0) [Computer software]. https://bioconductor.org/packages/MSstatsLiP

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 MSstatsLiP version 1.18.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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