cydar
Bioc currentUsing Mass Cytometry for Differential Abundance Analyses
Release Lineage
Entered 3.5 · Apr 25, 2017
Current · Requires R 4.6
Description
Identifies differentially abundant populations between samples and groups in mass cytometry data. Provides methods for counting cells into hyperspheres, controlling the spatial false discovery rate, and visualizing changes in abundance in the high-dimensional marker space.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
77 24 exported
Complexity
3.3 avg / 22 max
Call network
77 nodes / 85 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
5,403
Files
66
Compiled share
6.4%
Has compiled src
Yes
Language breakdown
API
Exported functions
24
Internal functions
42
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.48
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
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
–
System requirements
1
C++ standard
–
License
GPL-3
License flags
SPDX valid, OSI approved
History
Versions
19
First release
2017-04-24
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
100%
Dep drift
6
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
- 90%
- Return-value docs
- 95%
- References docs
- 10%
Topics
People
- Aaron Lun author maintainer
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("cydar")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.
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