Association of Covariance for Detecting Differential Co-Expression
Overview
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
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespace in Imports field not imported from: ‘tibble’ All declared Imports should be used.
- NOTE11 OK, 2 NOTE2026-06-09
- ERROR10 OK, 2 NOTE, 1 ERROR2026-06-08
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 10
- Examples that run
- 80%8 run in a plain check · 2 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 100%
Downloads
Repository
- PRs merged (all time)
- not measured
- Median days to close, 50 most recently updated closed issues
- 1
- Median days to close, 50 most recently updated closed PRs
- not measured
Stars over time
Releases over time
Issues over time
3 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/uscbiostats/acdc on 2026-10-21.
Dependencies
Installing modACDC adds 53 packages (29 with compiled code, 42 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 2.0.1Latest
- 2.0.0
- 1.0.02023-05-10
- RR 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
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("modACDC")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
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