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bandle

Bioc current

An R package for the Bayesian analysis of differential subcellular localisation experiments

v1.16.0 · Package record · software · Artistic-2.0

Release Lineage

Entered 3.15 · Apr 27, 2022

Current · Requires R 4.6

1.0 In 9 of 49 releases 3.23

Description

The Bandle package enables the analysis and visualisation of differential localisation experiments using mass-spectrometry data. Experimental methods supported include dynamic LOPIT-DC, hyperLOPIT, Dynamic Organellar Maps, Dynamic PCP. It provides Bioconductor infrastructure to analyse these data.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

155 33 exported

Complexity

2.7 avg / 35 max

Call network

155 nodes / 96 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

11,411

Files

67

Compiled share

18.4%

Has compiled src

Yes

Language breakdown

R 4,632 (40.6%)C/C++/src 2,103 (18.4%)Tests 406 (3.6%)Docs 2,084 (18.3%)Vignettes 2,186 (19.2%)

API

Exported functions

33

Internal functions

50

Recent export changes

v3.21+3 plotOutliers, bandle_get_outliers, calculateGelman

Testing

Has tests

Yes

Test-to-code ratio

0.09

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

50%

Unsafe pattern score

0

Dep constraint coverage

7.1%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.1

System requirements

–

C++ standard

C++14

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

9

First release

2022-04-26

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

4

LOC over versions

v3.15: 10,661 LOCv3.16: 10,739 LOCv3.17: 10,739 LOCv3.18: 10,739 LOCv3.19: 10,739 LOCv3.20: 10,739 LOCv3.21: 11,408 LOCv3.22: 11,408 LOCv3.23: 11,411 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 · 605 wordsVignettesYes · 2 · dynamicNEWSYes · 67% structuredCitation fileNo
Help pages
25includes a package overview page
Examples that run
95%19 run in a plain check · 1 never run
Exported functions with examples
87%
Documented parameters
94%
Return-value docs
96%
Help pages citing references
4%

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/ococrook/bandle on 2026-10-22.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows

Docs source (2)

GitHub Pages site last deployed 2022-07-22 · The repository has a site deploy workflow

Coverage (1)
Coverage reporting
How this is detected·Detection ruleset v4 (2026-10-20)

Topics

Maintainer
Oliver M. Crook

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bandle")
Crook, O. M., & Breckels, L. (2026). bandle: An R package for the Bayesian analysis of differential subcellular localisation experiments (Version 1.16.0) [Computer software]. https://bioconductor.org/packages/bandle

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 bandle version 1.16.0 [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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