bandle
Bioc currentAn R package for the Bayesian analysis of differential subcellular localisation experiments
Release Lineage
Entered 3.15 · Apr 27, 2022
Current · Requires R 4.6
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.
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.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
11,411
Files
71
Compiled share
18.4%
Has compiled src
Yes
Language breakdown
API
Exported functions
33
Internal functions
50
Recent export changes
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
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
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 95%
- Documented parameters
- 94%
- Return-value docs
- 96%
- References docs
- 4%
Topics
People
- Oliver M. Crook author maintainer
- Lisa Breckels author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("bandle")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.
From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.