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Provides methods for genome-wide association studies (GWAS) using ranked set sampling (RSS) designs. The package includes tools for ranked set sample selection, standard and RSS-based association analyses, simulation of genotype and phenotype data, statistical comparison of RSS and simple random sampling (SRS) approaches, visualization of GWAS results, and power analysis under alternative sampling schemes.
| Version: | 0.1.1 |
| Depends: | R (≥ 4.3.0) |
| Imports: | qqman |
| Published: | 2026-06-18 |
| DOI: | 10.32614/CRAN.package.RankGWASK |
| Author: | Khalid Ul Islam Rather [aut, cre] |
| Maintainer: | Khalid Ul Islam Rather <drkhalidulislam at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | RankGWASK results |
| Reference manual: | RankGWASK.html , RankGWASK.pdf |
| Package source: | RankGWASK_0.1.1.tar.gz |
| Windows binaries: | r-devel: RankGWASK_0.1.1.zip, r-release: RankGWASK_0.1.1.zip, r-oldrel: RankGWASK_0.1.1.zip |
| macOS binaries: | r-release (arm64): RankGWASK_0.1.1.tgz, r-oldrel (arm64): RankGWASK_0.1.1.tgz, r-release (x86_64): RankGWASK_0.1.1.tgz, r-oldrel (x86_64): RankGWASK_0.1.1.tgz |
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These binaries (installable software) and packages are in development.
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