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MultiDataSet

Bioc current

Implementation of MultiDataSet and ResultSet

v1.40.0 · Package record · software · file LICENSE

Release Lineage

Entered 3.3 · May 4, 2016

Current · Requires R 4.6

1.0 In 21 of 49 releases 3.23

Description

Implementation of the BRGE's (Bioinformatic Research Group in Epidemiology from Center for Research in Environmental Epidemiology) MultiDataSet and ResultSet. MultiDataSet is designed for integrating multi omics data sets and ResultSet is a container for omics results. This package contains base classes for MEAL and rexposome packages.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

11 8 exported

Complexity

3.5 avg / 15 max

Call network

11 nodes / 3 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

3,940

Files

83

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,074 (52.6%)Docs 1,198 (30.4%)Vignettes 668 (17%)

API

Exported functions

14

Internal functions

3

Recent export changes

v3.6+6 create_resultset, getAssociation, lambdaClayton +3 more  −5 betas, checkProbes, checkSamples 2 more
v3.5+3 mae2mds, mds2mae, methylationSet  −1 prepareMethylationSet

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

–

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.1

System requirements

–

C++ standard

–

License

file LICENSE

License flags

SPDX valid, not OSI

History

Versions

21

First release

2016-05-15

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

33

LOC over versions

v3.3: 2,507 LOCv3.4: 3,144 LOCv3.5: 4,673 LOCv3.6: 4,265 LOCv3.7: 5,103 LOCv3.8: 5,108 LOCv3.9: 5,108 LOCv3.10: 5,108 LOCv3.11: 3,865 LOCv3.12: 3,866 LOCv3.13: 3,866 LOCv3.14: 3,940 LOCv3.15: 3,940 LOCv3.16: 3,940 LOCv3.17: 3,940 LOCv3.18: 3,940 LOCv3.19: 3,940 LOCv3.20: 3,940 LOCv3.21: 3,940 LOCv3.22: 3,940 LOCv3.23: 3,940 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
READMENoVignettesYes · 2 · dynamicNEWSYes · 0% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
25includes a package overview page
Examples that run
100%19 run in a plain check
Exported functions with examples
69%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Repository practices

Bioconductor git repository

Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.

No development-tooling practices detected in the Bioconductor git repository.

Datasets

Bundled datasets · 1
NameClassSizeAlso in
rset–––

All of MultiDataSet's data objects

Topics

Maintainer
Xavier Escrib

Available on

CRANr2uBioconductorautoCRANCOPR

Depended on by (5)

People

Cite

Cite this package

Run in R for the authors' entry:

citation("MultiDataSet")

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

It points to 10.1186/s12859-016-1455-1.

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 MultiDataSet version 1.40.0 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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