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modACDC

2.0.1

Association of Covariance for Detecting Differential Co-Expression

0packages depend
2.8Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Katelyn QueenFirst published 2023-05-103 releasesCRAN page ↗GitHub ↗

A series of functions to implement association of covariance for detecting differential co-expression (ACDC), a novel approach for detection of differential co-expression that simultaneously accommodates multiple phenotypes or exposures with binary, ordinal, or continuous data types. Users can use the default method which identifies modules by Partition or may supply their own modules. Also included are functions to choose an information loss criterion (ILC) for Partition using OmicS-data-based Complex trait Analysis (OSCA) and Genome-wide Complex trait Analysis (GCTA). The manuscript describing these methods is as follows: Queen K, Nguyen MN, Gilliland F, Chun S, Raby BA, Millstein J. "ACDC: a general approach for detecting phenotype or exposure associated co-expression" (2023) doi:10.3389/fmed.2023.1118824.

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: 2.2 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
13
Dependencies · direct
Check history
  • NOTE2026-06-09
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    10 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 239 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
100%

Downloads

2.8K
CRAN downloads in the past year
Rank #19,755 · ~8/day · ~236/mo
Daily download trend is not available in this view yet.
11530 days
55590 days
2.8K1 year
Compare downloads with other packages →
Also on98 r2u15 autocran

Repository

Repository
1Stars
0Forks
0Open issues
0Open PRs
2Releases
98Commits
2Contributors
98 commits · Last activity 2024-04-09

Stars over time

2024-03-26 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/uscbiostats/acdc on 2026-08-16.

CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (2)
Author, Maintainer, Copyright holder
Author, Copyright holder
Copyright holders (2)
Author, Maintainer, Copyright holder
Author, Copyright holder
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
  • 2.0.1Latest
    2024-01-30 · current release · diff ↗
  • 2.0.0
    2024-01-25 · diff ↗
  • 1.0.0
    2023-05-10
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-05-10
Total releases
3 / 3 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Download size
20 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("modACDC")
Queen, K., & Millstein, J. (2024). modACDC: Association of Covariance for Detecting Differential Co-Expression (Version 2.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.modACDC

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 modACDC version 2.0.1 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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