R Observatory: Metrics for pRoloc version 1.52.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

pRoloc

Bioc current

A unifying bioinformatics framework for spatial proteomics

v1.52.0 · software · GPL-2

View on Bioconductor ↗ Source ↗

Release Lineage

Entered 2.12 · Apr 4, 2013

Current · Requires R 4.6

1.0 In 27 of 49 releases 3.23

Description

The pRoloc package implements machine learning and visualisation methods for the analysis and interogation of quantitiative mass spectrometry data to reliably infer protein sub-cellular localisation.

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

253 132 exported

Complexity

4 avg / 71 max

Call network

253 nodes / 270 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Call graph

Open call graph →

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Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

23,742

Files

235

Compiled share

1.5%

Has compiled src

Yes

Language breakdown

R 12,714 (53.6%)C/C++/src 368 (1.5%)Tests 1,098 (4.6%)Docs 5,902 (24.9%)Vignettes 3,660 (15.4%)

API

Exported functions

144

Internal functions

110

Recent export changes

v3.8+17 plotEllipse, tagmMapTrain, tagmPredict +14 more

v3.5+1 mrkConsProfiles

Testing & CI

Has tests

Yes

Test-to-code ratio

0.09

testthat edition

–

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

Docs

Roxygen coverage

93.8%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

57.1%

Unsafe pattern score

0

Dep constraint coverage

10.5%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.5

System requirements

–

C++ standard

–

License

GPL-2

License flags

SPDX valid, OSI approved

History

Versions

27

First release

2013-08-14

Latest release

2026-04-28

Avg cadence

181 days

Cold removal rate

100%

Dep drift

24

LOC over versions

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

Documentation

READMEYes · 601 wordsVignettesYes · dynamicpkgdown siteYesNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 92%
Documented parameters: 100%
Return-value docs: 90%
References docs: 11%

Topics

Software › ResearchField › Immunology › ImmunoOncology

Software › ResearchField › Proteomics

Software › Technology › MassSpectrometry

Software › StatisticalMethod › Classification

Software › StatisticalMethod › Clustering

Software › WorkflowStep › QualityControl

Depended on by (5)

Bioconductor (5)

bandle MSnbase pRolocGUI pRolocdata RforProteomics

People

Lisa Breckels author maintainer
Thomas Burger contributor
Oliver Crook author
Laurent Gatto author
Charlotte Hutchings contributor
Samuel Wieczorek contributor

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("pRoloc")

Format

Breckels, L., Burger, T., Crook, O., Gatto, L., Hutchings, C., & Wieczorek, S. (2026). pRoloc: A unifying bioinformatics framework for spatial proteomics (Version 1.52.0) [Computer software]. https://bioconductor.org/packages/pRoloc

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for pRoloc version 1.52.0 [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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