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scmeth

Bioc current

Functions to conduct quality control analysis in methylation data

v1.32.0 · Package record · software · GPL-2

Release Lineage

Entered 3.7 · May 1, 2018

Current · Requires R 4.6

1.0 In 17 of 49 releases 3.23

Description

Functions to analyze methylation data can be found here. Some functions are relevant for single cell methylation data but most other functions can be used for any methylation data. Highlight of this workflow is the comprehensive quality control report.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

12 12 exported

Complexity

2.2 avg / 5 max

Call network

12 nodes / 0 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

1,247

Files

46

Compiled share

0%

Has compiled src

No

Language breakdown

R 535 (42.9%)Docs 390 (31.3%)Vignettes 322 (25.8%)

API

Exported functions

12

Internal functions

0

Recent export changes

v3.7+12 bsConversionPlot, chromosomeCoverage, coverage +9 more

Testing

Has tests

No

Test-to-code ratio

0.00

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

18.8%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.5.0

System requirements

–

C++ standard

–

License

GPL-2

License flags

SPDX valid, OSI approved

History

Versions

17

First release

2018-06-01

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

8

LOC over versions

v3.7: 1,298 LOCv3.8: 1,247 LOCv3.9: 1,246 LOCv3.10: 1,246 LOCv3.11: 1,246 LOCv3.12: 1,246 LOCv3.13: 1,246 LOCv3.14: 1,246 LOCv3.15: 1,246 LOCv3.16: 1,246 LOCv3.17: 1,246 LOCv3.18: 1,246 LOCv3.19: 1,246 LOCv3.20: 1,246 LOCv3.21: 1,246 LOCv3.22: 1,247 LOCv3.23: 1,247 LOC

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

Documentation

In the Bioconductor 3.23 release
READMEYes · 22 wordsVignettesYes · 1 · dynamicNEWSYes · 33% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
13includes a package overview page
Examples that run
100%12 run in a plain check
Exported functions with examples
100%
Documented parameters
98%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/aryeelab/scmeth on 2026-10-11.

Continuous integration (1)
Travis CI (config file)
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Datasets

Topics

Maintainer
Divy Kangeyan

Available on

CRANr2uBioconductorautoCRANCOPR

Suggested by (1)

People (from the free-text Author field)

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("scmeth")

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 scmeth version 1.32.0 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

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.

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