regionalpcs
Bioc currentSummarizing Regional Methylation with Regional Principal Components Analysis
Release Lineage
Entered 3.18 · Oct 25, 2023
Current · Requires R 4.6
Description
Functions to summarize DNA methylation data using regional principal components. Regional principal components are computed using principal components analysis within genomic regions to summarize the variability in methylation levels across CpGs. The number of principal components is chosen using either the Marcenko-Pasteur or Gavish-Donoho method to identify relevant signal in the data.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
6 6 exported
Complexity
1.8 avg / 4 max
Call network
6 nodes / 2 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
1,047
Files
27
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
6
Internal functions
0
Testing & CI
Has tests
Yes
Test-to-code ratio
0.31
testthat edition
3
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
4.3.0
System requirements
–
C++ standard
–
License
MIT + file LICENSE
License flags
SPDX valid, OSI approved
History
Versions
6
First release
2023-10-24
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
- 100%
- References docs
- 0%
Topics
People
- Tiffany Eulalio author maintainer
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("regionalpcs")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 v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.