Skip to content

mgc

2.0.2

Multiscale Graph Correlation

2packages depend
3.9Kdownloads / year
57.8%test coverage
11/13checks pass

Overview

About
Maintained by Eric BridgefordFirst published 2018-04-123 releasesCRAN page ↗GitHub ↗

Multiscale Graph Correlation (MGC) is a framework developed by Vogelstein et al. (2019) DOI:10.7554/eLife.41690 that extends global correlation procedures to be multiscale; consequently, MGC tests typically require far fewer samples than existing methods for a wide variety of dependence structures and dimensionalities, while maintaining computational efficiency. Moreover, MGC provides a simple and elegant multiscale characterization of the potentially complex latent geometry underlying the relationship.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-fedora-clang
  • NOTE r-devel-linux-x86_64-fedora-gcc
Slowest check: 14.7 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.14
57.8%
Coverage · measured lines
100%
Documentation · exports
6
Dependencies · direct
Check history
  • NOTE2026-06-09
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-07
    10 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    9 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
83%
Documented parameters
98%
Return-value docs
81%
References docs
16%

Downloads

3.9K
CRAN downloads in the past year
Rank #11,596 · ~11/day · ~325/mo
Daily download trend is not available in this view yet.
18530 days
86390 days
3.9K1 year
Compare downloads with other packages →
Also on397 r2u23 autocran1K conda_forge

Repository

Repository
10Stars
10Forks
6Open issues
3Open PRs
1Releases
568Commits
8Contributors
License Apache-2.0 · 568 commits · Last activity 2021-02-23 · 0% stars, 30d

Stars over time

2021-08-09 · 92026-07-07 · 10

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/neurodata/r-mgc on 2026-08-23.

Continuous integration (1)
Travis CI
Lint, format, editor (1)
RStudio project
Coverage (1)
Codecov
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.4.0
Imports (6)
statsMASSabindbootenergyraster
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
2direct
0indirect

Code & Tests

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Other (1)
Thesis advisor
Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 2.0.2Latest
    2020-06-23 · current release · diff ↗
  • unarchivedReturned to CRAN
    2020-06-23
  • R
    R 4.0.0 released · 2020-04-24
  • archivedRemoved from CRAN
    2020-02-14
    requires archived package 'SDMTools'
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 1.0.1
    2018-04-13 · diff ↗
  • 1.0
    2018-04-12
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2018-04-12
Total releases
3 / 8 yrs
License
GPL-2 OSI
Minimum R
≥ 3.4.0
Download size
637 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mgc")
Bridgeford, E., Shen, C., Vogelstein, J., & Wang, S. (2020). mgc: Multiscale Graph Correlation (Version 2.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.mgc

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 mgc version 2.0.2 [Data set]. HJJB, LLC. Data release v2026-08-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy