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MuData

Bioc current

Serialization for MultiAssayExperiment Objects

v1.16.0 · software · GPL-3

Release Lineage

Entered 3.15 · Apr 27, 2022

Current · Requires R 4.6

1.0 In 9 of 49 releases 3.23

Description

Save MultiAssayExperiments to h5mu files supported by muon and mudata. Muon is a Python framework for multimodal omics data analysis. It uses an HDF5-based format for data storage.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

38 4 exported

Complexity

4.7 avg / 30 max

Call network

38 nodes / 69 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

1,931

Files

23

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,053 (54.5%)Tests 262 (13.6%)Docs 108 (5.6%)Vignettes 508 (26.3%)

API

Exported functions

4

Internal functions

34

Testing & CI

Has tests

Yes

Test-to-code ratio

0.25

testthat edition

3

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

10%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

System requirements

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

9

First release

2022-04-26

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

0

LOC over versions

v3.15: 1,725 LOCv3.16: 1,725 LOCv3.17: 1,725 LOCv3.18: 1,725 LOCv3.19: 1,725 LOCv3.20: 1,725 LOCv3.21: 1,931 LOCv3.22: 1,931 LOCv3.23: 1,931 LOC

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

Documentation

Documentation
READMEYes · 222 wordsVignettesYes · dynamicpkgdown siteYesNEWSYes · 33% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

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