Cardinal
Bioc currentA mass spectrometry imaging toolbox for statistical analysis
Release Lineage
Entered 3.1 · Apr 17, 2015
Current · Requires R 4.6
Description
Implements statistical & computational tools for analyzing mass spectrometry imaging datasets, including methods for efficient pre-processing, spatial segmentation, and classification.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
146 52 exported
Complexity
5.1 avg / 30 max
Call network
146 nodes / 181 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
17,795
Files
116
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
64
Internal functions
94
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.26
testthat edition
–
CI present
No
CI type
[]
PR gated
No
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
0
Dep constraint coverage
5.9%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.4
System requirements
–
C++ standard
–
License
Artistic-2.0 | file LICENSE
License flags
SPDX valid, not OSI
History
Versions
23
First release
2015-04-16
Latest release
2026-04-28
Avg cadence
183 days
Cold removal rate
100%
Dep drift
25
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 100%
- Documented parameters
- 97%
- Return-value docs
- 46%
- References docs
- 14%
Topics
Depended on by (2)
Bioconductor (2)
People
- Kylie Ariel Bemis author maintainer
Cite
Cite this package
Run in R for the authors' preferred citation:
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Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
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