csaw
Bioc currentChIP-Seq Analysis with Windows
Release Lineage
Entered 3.0 · Oct 14, 2014
Current · Requires R 4.6
Description
Detection of differentially bound regions in ChIP-seq data with sliding windows, with methods for normalization and proper FDR control.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
127 51 exported
Complexity
3.7 avg / 15 max
Call network
127 nodes / 143 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
12,934
Files
144
Compiled share
14.4%
Has compiled src
Yes
Language breakdown
API
Exported functions
53
Internal functions
34
Recent export changes
Testing
Has tests
Yes
Test-to-code ratio
1.18
testthat edition
–
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
–
Unsafe pattern score
0
Dep constraint coverage
12.5%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
–
System requirements
2 externalC++11, GNU make
C++ standard
–
License
GPL-3
License flags
SPDX valid, OSI approved
History
Versions
24
First release
2015-03-11
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
100%
Dep drift
17
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Help pages
- 37
- Examples that run
- 100%36 run in a plain check (1 of them under a condition)
- Exported functions with examples
- 100%
- Documented parameters
- 97%
- Return-value docs
- 97%
- Help pages citing references
- 24%
- Introduction HTML
Repository practices
Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.
No development-tooling practices detected in the Bioconductor git repository.
Topics
Depended on by (10)
People
- Aaron Lun author maintainer
- Gordon Smyth author
Cite
Cite this package
Run in R for the authors' entry:
citation("csaw")The package provides a citation file, so citation() returns the authors' own entry.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.