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
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: RAS_1.0.3.zip, r-release: RAS_1.0.3.zip, r-oldrel: RAS_1.0.3.zip
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

Linking:

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