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methylInheritance

Bioc current

Permutation-Based Analysis associating Conserved Differentially Methylated Elements Across Multiple Generations to a Treatment Effect

v1.36.0 · software · Artistic-2.0

Release Lineage

Entered 3.5 · Apr 25, 2017

Current · Requires R 4.6

1.0 In 19 of 49 releases 3.23

Description

Permutation analysis, based on Monte Carlo sampling, for testing the hypothesis that the number of conserved differentially methylated elements, between several generations, is associated to an effect inherited from a treatment and that stochastic effect can be dismissed.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

25 9 exported

Complexity

7.2 avg / 38 max

Call network

25 nodes / 21 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

6,489

Files

85

Compiled share

0%

Has compiled src

No

Language breakdown

R 3,445 (53.1%)Tests 2 (0%)Docs 2,522 (38.9%)Vignettes 520 (8%)

API

Exported functions

9

Internal functions

16

Recent export changes

v3.6+3 calculateSignificantLevel, loadConvergenceData, plotConvergenceGraph
v3.5+6 extractInfo, loadAllRDSResults, mergePermutationAndObservation +3 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.00

testthat edition

CI present

Yes

CI type

["github-actions","travis"]

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

3.5

System requirements

C++ standard

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

19

First release

2017-04-24

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

2

LOC over versions

v3.5: 5,629 LOCv3.6: 6,364 LOCv3.7: 6,364 LOCv3.8: 6,375 LOCv3.9: 6,375 LOCv3.10: 6,375 LOCv3.11: 6,375 LOCv3.12: 6,375 LOCv3.13: 6,478 LOCv3.14: 6,478 LOCv3.15: 6,478 LOCv3.16: 6,478 LOCv3.17: 6,478 LOCv3.18: 6,478 LOCv3.19: 6,478 LOCv3.20: 6,478 LOCv3.21: 6,489 LOCv3.22: 6,489 LOCv3.23: 6,489 LOC

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

Documentation

Documentation
READMEYes · 241 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
99%
Return-value docs
100%
References docs
0%

Datasets

Bundled datasets · 14
NameClassRows × ColsAlso in
SITES_observed_resultslistNo other package
SITES_permutation_1listNo other package
SITES_permutation_2listNo other package
SITES_permutation_3listNo other package
TILES_observed_resultslistNo other package
TILES_permutation_1listNo other package
TILES_permutation_2listNo other package
TILES_permutation_3listNo other package
demoForTransgenerationalAnalysislistNo other package
methylInheritanceResultsmethylInheritanceAllResultsNo other package
methylObj_001listNo other package
permutationResultsForSiteslistNo other package
resultsForTransgenerationalAnalysismethylInheritanceAllResultsNo other package
samplesForTransgenerationalAnalysislistNo other package

All of methylInheritance's data objects

Topics

Depended on by (1)

Bioconductor (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("methylInheritance")
DeschĂȘnes, A., Belleau, P., & Droit, A. (2026). methylInheritance: Permutation-Based Analysis associating Conserved Differentially Methylated Elements Across Multiple Generations to a Treatment Effect (Version 1.36.0) [Computer software]. https://bioconductor.org/packages/methylInheritance

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 methylInheritance version 1.36.0 [Data set]. HJJB, LLC. Data release v2026-08-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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