cqn
Bioc currentConditional quantile normalization
Release Lineage
Entered 2.9 · Nov 1, 2011
Current · Requires R 4.6
Description
A normalization tool for RNA-Seq data, implementing the conditional quantile normalization method.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
7 3 exported
Complexity
5 avg / 23 max
Call network
7 nodes / 1 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
1,007
Files
15
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
3
Internal functions
4
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
–
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
30
First release
2012-02-10
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
2
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
- 100%
- References docs
- 67%
Topics
Depended on by (3)
Bioconductor (3)
People
Kasper Daniel Hansen
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("cqn")Cite the R Observatory
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