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martini

Bioc current

GWAS Incorporating Networks

v1.32.0 · Package record · software · GPL-3

Release Lineage

Entered 3.7 · May 1, 2018

Current · Requires R 4.6

1.0 In 17 of 49 releases 3.23

Description

martini deals with the low power inherent to GWAS studies by using prior knowledge represented as a network. SNPs are the vertices of the network, and the edges represent biological relationships between them (genomic adjacency, belonging to the same gene, physical interaction between protein products). The network is scanned using SConES, which looks for groups of SNPs maximally associated with the phenotype, that form a close subnetwork.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

81 16 exported

Complexity

2.2 avg / 11 max

Call network

81 nodes / 81 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

6,615

Files

132

Compiled share

27.8%

Has compiled src

Yes

Language breakdown

R 1,648 (24.9%)C/C++/src 1,837 (27.8%)Tests 1,259 (19%)Docs 1,594 (24.1%)Vignettes 277 (4.2%)

API

Exported functions

16

Internal functions

29

Recent export changes

v3.9+2 scones, scones.cv
v3.7+7 get_GI_network, get_GM_network, get_GS_network +4 more

Testing

Has tests

Yes

Test-to-code ratio

0.76

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

62.5%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.0

System requirements

–

C++ standard

–

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

17

First release

2018-04-30

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

2

LOC over versions

v3.7: 3,031 LOCv3.8: 3,038 LOCv3.9: 3,746 LOCv3.10: 3,745 LOCv3.11: 3,776 LOCv3.12: 3,776 LOCv3.13: 6,589 LOCv3.14: 6,589 LOCv3.15: 6,589 LOCv3.16: 6,615 LOCv3.17: 6,615 LOCv3.18: 6,615 LOCv3.19: 6,615 LOCv3.20: 6,615 LOCv3.21: 6,615 LOCv3.22: 6,615 LOCv3.23: 6,615 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 · 115 wordsVignettesYes · 2 · dynamicNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
50 (26 internal)
Examples that run
79%22 run in a plain check · 6 never run
Exported functions with examples
94%
Documented parameters
97%
Return-value docs
100%
Help pages citing references
20%

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/hclimente/martini on 2026-10-22.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows

Coverage (1)
Coverage reporting (Codecov)
Reproducibility and dev environment (1)
Makefile
How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 3
NameClassSizeAlso in
minigwaslist3 elementsNo other package
minippidata.frame3 × 2No other package
minisnpMappingdata.frame21 × 2No other package

All of martini's data objects

Topics

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("martini")

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

It points to 10.1101/2021.01.25.428047.

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 martini version 1.32.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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