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RankGWASK  

Ranked Set Sampling Genome-Wide Association Studies Toolkit
View on CRAN: Click here


Download and install RankGWASK package within the R console
Install from CRAN:
install.packages("RankGWASK")

Install from Github:
library("remotes")
install_github("cran/RankGWASK")

Install by package version:
library("remotes")
install_version("RankGWASK", "0.1.1")



Attach the package and use:
library("RankGWASK")
Maintained by
Khalid Ul Islam Rather
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-18
Latest Update: 2026-06-18
Description:
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.
How to cite:
Khalid Ul Islam Rather (2026). RankGWASK: Ranked Set Sampling Genome-Wide Association Studies Toolkit. R package version 0.1.1, https://cran.r-project.org/web/packages/RankGWASK. Accessed 05 Oct. 2026.
Previous versions and publish date:
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Complete documentation for RankGWASK
Functions, R codes and Examples using the RankGWASK R package
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