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ramr

Bioc current

Detection of Rare Aberrantly Methylated Regions in Array and NGS Data

v1.20.0 · software · Artistic-2.0

Release Lineage

Entered 3.13 · May 20, 2021

Current · Requires R 4.6

1.0 In 11 of 49 releases 3.23

Description

ramr is an R package for detection of epimutations (i.e., infrequent aberrant DNA methylation events) in large data sets obtained by methylation profiling using array or high-throughput methylation sequencing. In addition, package provides functions to visualize found aberrantly methylated regions (AMRs), to generate sets of all possible regions to be used as reference sets for enrichment analysis, and to generate biologically relevant test data sets for performance evaluation of AMR/DMR search algorithms.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

104 7 exported

Complexity

3.5 avg / 19 max

Call network

104 nodes / 55 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

4,985

Files

60

Compiled share

39.1%

Has compiled src

Yes

Language breakdown

R 1,735 (34.8%)C/C++/src 1,950 (39.1%)Tests 1 (0%)Docs 1,008 (20.2%)Vignettes 291 (5.8%)

API

Exported functions

7

Internal functions

36

Recent export changes

v3.21+2 getAMR.obsolete, simulateData.obsolete

Testing & CI

Has tests

Yes

Test-to-code ratio

0.00

testthat edition

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

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

4.1

System requirements

2

C++ standard

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

11

First release

2021-08-13

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

14

LOC over versions

v3.13: 1,510 LOCv3.14: 1,511 LOCv3.15: 1,511 LOCv3.16: 1,511 LOCv3.17: 1,511 LOCv3.18: 1,511 LOCv3.19: 1,511 LOCv3.20: 1,511 LOCv3.21: 4,985 LOCv3.22: 4,985 LOCv3.23: 4,985 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

Documentation
READMEYes · 455 wordsVignettesYes · dynamicpkgdown siteYesNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
97%
Return-value docs
100%
References docs
13%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ramr")
Nikolaienko, O. (2026). ramr: Detection of Rare Aberrantly Methylated Regions in Array and NGS Data (Version 1.20.0) [Computer software]. https://bioconductor.org/packages/ramr

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ramr version 1.20.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

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.

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