Package: GMAC 3.1

GMAC: Genomic Mediation Analysis with Adaptive Confounding Adjustment

Performs genomic mediation analysis with adaptive confounding adjustment (GMAC) proposed by Yang et al. (2017) <doi:10.1101/078683>. It implements large scale mediation analysis and adaptively selects potential confounding variables to adjust for each mediation test from a pool of candidate confounders. The package is tailored for but not limited to genomic mediation analysis (e.g., cis-gene mediating trans-gene regulation pattern where an eQTL, its cis-linking gene transcript, and its trans-gene transcript play the roles as treatment, mediator and the outcome, respectively), restricting to scenarios with the presence of cis-association (i.e., treatment-mediator association) and random eQTL (i.e., treatment).

Authors:Fan Yang, Jiebiao Wang and Lin Chen

GMAC_3.1.tar.gz
GMAC_3.1.zip(r-4.5)GMAC_3.1.zip(r-4.4)GMAC_3.1.zip(r-4.3)
GMAC_3.1.tgz(r-4.5-any)GMAC_3.1.tgz(r-4.4-any)GMAC_3.1.tgz(r-4.3-any)
GMAC_3.1.tar.gz(r-4.5-noble)GMAC_3.1.tar.gz(r-4.4-noble)
GMAC_3.1.tgz(r-4.4-emscripten)GMAC_3.1.tgz(r-4.3-emscripten)
GMAC.pdf |GMAC.html
GMAC/json (API)

# Install 'GMAC' in R:
install.packages('GMAC', repos = c('https://randel.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • dat - Example data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.48 score 3 scripts 237 downloads 3 mentions 1 exports 0 dependencies

Last updated 3 years agofrom:7d08079f4b. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 30 2025
R-4.5-winOKJan 30 2025
R-4.5-macOKJan 30 2025
R-4.5-linuxOKJan 30 2025
R-4.4-winOKJan 30 2025
R-4.4-macOKJan 30 2025
R-4.3-winOKJan 30 2025
R-4.3-macOKJan 30 2025

Exports:gmac

Dependencies: