ChAMP
Bioc currentChip Analysis Methylation Pipeline for Illumina HumanMethylation450 and EPIC
Release Lineage
Entered 2.13 · Oct 15, 2013
Current · Requires R 4.6
Description
The package includes quality control metrics, a selection of normalization methods and novel methods to identify differentially methylated regions and to highlight copy number alterations.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
29 20 exported
Complexity
13.8 avg / 41 max
Call network
29 nodes / 20 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
7,580
Files
108
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
20
Internal functions
4
Recent export changes
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
5.3%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
3.3
System requirements
–
C++ standard
–
License
GPL-3
License flags
SPDX valid, OSI approved
History
Versions
26
First release
2014-02-06
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
100%
Dep drift
36
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 0%
- Documented parameters
- 98%
- Return-value docs
- 90%
- References docs
- 48%
Topics
Depended on by (1)
Bioconductor (1)
People
- Tian Yuan maintainer author
- Ankur Chakravarthy contributor
- Andrew Feber contributor
- Tiffany Morris contributor
- Lee Stirling contributor
- Andrew Teschendorff contributor
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("ChAMP")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.
From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.