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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: not available, 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:

Please use the canonical form https://CRAN.R-project.org/package=RAS to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.