flowMeans
Bioc currentNon-parametric Flow Cytometry Data Gating
Release Lineage
Entered 2.6 · Apr 23, 2010
Current · Requires R 4.6
Description
Identifies cell populations in Flow Cytometry data using non-parametric clustering and segmented-regression-based change point detection. Note: R 2.11.0 or newer is required.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
10 2 exported
Complexity
8.4 avg / 35 max
Call network
10 nodes / 8 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
954
Files
23
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
5
Internal functions
1
Testing & CI
Has tests
No
Test-to-code ratio
0.00
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
2.10.0
System requirements
–
C++ standard
–
License
Artistic-2.0
License flags
SPDX valid, OSI approved
History
Versions
33
First release
2010-05-11
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
0
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
- 100%
- Return-value docs
- 40%
- References docs
- 29%
Topics
Depended on by (3)
Bioconductor (3)
People
Nima Aghaeepour
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("flowMeans")Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.