RAS: Regional Association Score for Genome-Wide Association Studies

Implements the Regional Association Score (RAS) method for genome-wide association studies (GWAS). For each single nucleotide polymorphism (SNP), RAS quantifies the strength of association within its surrounding genomic region, arranges these regional scores along the chromosome into a signal profile, and applies changepoint detection to locate association regions, improving statistical power while controlling the false positive rate. The method is described in Jiang and Zhang (2025) <doi:10.1073/pnas.2419721122>.

Version: 1.0.3
Imports: grDevices, graphics, parallel, segmented, stats
Suggests: testthat (≥ 3.0.0)
Published: 2026-07-24
DOI: 10.32614/CRAN.package.RAS (may not be active yet)
Author: Yiran Jiang [aut], Jiahe Jin [aut, cre], Heping Zhang [aut]
Maintainer: Jiahe Jin <jiahe.jin at yale.edu>
BugReports: https://github.com/hepingzhangyale/RAS/issues
License: MIT + file LICENSE
URL: https://github.com/hepingzhangyale/RAS
NeedsCompilation: yes
Citation: RAS citation info
Materials: README, NEWS
CRAN checks: RAS results

Documentation:

Reference manual: RAS.html , RAS.pdf

Downloads:

Package source: RAS_1.0.3.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): RAS_1.0.3.tgz, r-oldrel (arm64): RAS_1.0.3.tgz, r-release (x86_64): RAS_1.0.3.tgz, r-oldrel (x86_64): RAS_1.0.3.tgz

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