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vmrseq

Bioc current

Probabilistic Modeling of Single-cell Methylation Heterogeneity

v1.4.0 · software · MIT + file LICENSE

Release Lineage

Entered 3.21 · Apr 16, 2025

Current · Requires R 4.6

1.0 In 3 of 49 releases 3.23

Description

High-throughput single-cell measurements of DNA methylation allows studying inter-cellular epigenetic heterogeneity, but this task faces the challenges of sparsity and noise. We present vmrseq, a statistical method that overcomes these challenges and identifies variably methylated regions accurately and robustly.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

40 8 exported

Complexity

4 avg / 14 max

Call network

40 nodes / 37 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

2,897

Files

62

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,942 (67%)Tests 98 (3.4%)Docs 604 (20.8%)Vignettes 253 (8.7%)

API

Exported functions

8

Internal functions

32

Recent export changes

v3.21+8 HDF5NAdrop2matrix, poolData, regionSummary +5 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.05

testthat edition

3

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

3

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.5.0

System requirements

C++ standard

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

3

First release

2025-04-30

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

1

LOC over versions

v3.21: 2,896 LOCv3.22: 2,897 LOCv3.23: 2,897 LOC

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

Documentation

Documentation
READMEYes · 197 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
92%
Documented parameters
96%
Return-value docs
100%
References docs
23%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("vmrseq")
Shen, N. (2026). vmrseq: Probabilistic Modeling of Single-cell Methylation Heterogeneity (Version 1.4.0) [Computer software]. https://bioconductor.org/packages/vmrseq

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 vmrseq version 1.4.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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