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methylGSA

Bioc current

Gene Set Analysis Using the Outcome of Differential Methylation

v1.30.0 · Package record · software · GPL-2

Release Lineage

Entered 3.8 · Oct 31, 2018

Current · Requires R 4.6

1.0 In 16 of 49 releases 3.23

Description

The main functions for methylGSA are methylglm and methylRRA. methylGSA implements logistic regression adjusting number of probes as a covariate. methylRRA adjusts multiple p-values of each gene by Robust Rank Aggregation. For more detailed help information, please see the vignette.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

9 8 exported

Complexity

9.7 avg / 24 max

Call network

9 nodes / 8 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

2,130

Files

42

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,021 (47.9%)Tests 139 (6.5%)Docs 519 (24.4%)Vignettes 451 (21.2%)

API

Exported functions

8

Internal functions

1

Recent export changes

v3.8+7 barplot, getDescription, getGS +4 more

Testing

Has tests

Yes

Test-to-code ratio

0.14

testthat edition

–

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

3.5

System requirements

–

C++ standard

–

License

GPL-2

License flags

SPDX valid, OSI approved

History

Versions

16

First release

2019-04-11

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

4

LOC over versions

v3.8: 1,716 LOCv3.9: 1,837 LOCv3.10: 2,056 LOCv3.11: 2,056 LOCv3.12: 2,056 LOCv3.13: 2,130 LOCv3.14: 2,130 LOCv3.15: 2,130 LOCv3.16: 2,130 LOCv3.17: 2,130 LOCv3.18: 2,130 LOCv3.19: 2,130 LOCv3.20: 2,130 LOCv3.21: 2,130 LOCv3.22: 2,130 LOCv3.23: 2,130 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 · 178 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
12
Examples that run
88%7 run in a plain check · 1 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
67%

Repository practices

Upstream repositoryBeta

Checks run against github.com/reese3928/methylgsa on 2026-10-11.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v3 (2026-09-26)

Datasets

Bundled datasets · 3
NameClassSizeAlso in
CpG2Genedata.frame364,645 × 2No other package
GS.listlist105 elementsNo other package
cpg.pvalvector364,645 elementsNo other package

All of methylGSA's data objects

Topics

Maintainer
Xu Ren

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("methylGSA")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1093/bioinformatics/bty892.

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 methylGSA version 1.30.0 [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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