CNTools
Bioc currentConvert segment data into a region by sample matrix to allow for other high level computational analyses.
Release Lineage
Entered 2.4 · Apr 21, 2009
Current · Requires R 4.6
Description
This package provides tools to convert the output of segmentation analysis using DNAcopy to a matrix structure with overlapping segments as rows and samples as columns so that other computational analyses can be applied to segmented data
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
20 2 exported
Complexity
2.3 avg / 6 max
Call network
20 nodes / 12 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
924
Files
19
Compiled share
9.2%
Has compiled src
Yes
Language breakdown
API
Exported functions
2
Internal functions
17
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
System requirements
–
C++ standard
–
License
LGPL
License flags
not SPDX, not OSI
History
Versions
35
First release
2009-04-20
Latest release
2026-04-28
Avg cadence
183 days
Cold removal rate
–
Dep drift
1
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
- not tracked
- Return-value docs
- 0%
- References docs
- 13%
Topics
Depended on by (1)
Bioconductor (1)
People
J. Zhang
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("CNTools")Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.