Package: RankGWASK 0.1.1
Khalid Ul Islam Rather
RankGWASK: Ranked Set Sampling Genome-Wide Association Studies Toolkit
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.
Authors:
RankGWASK_0.1.1.tar.gz
RankGWASK_0.1.1.zip(r-4.7-any)RankGWASK_0.1.1.zip(r-4.6-any)
RankGWASK_0.1.1.tar.gz(r-4.7-any)RankGWASK_0.1.1.tar.gz(r-4.6-any)
RankGWASK_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
RankGWASK/json (API)
| # Install 'RankGWASK' in R: |
| install.packages('RankGWASK', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- gwas_data - Example GWAS Dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:2eaddbb328. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 89 | ||
| source / vignettes | OK | 134 | ||
| linux-release | OK | 84 | ||
| windows-devel | OK | 50 | ||
| windows-release | OK | 64 | ||
| wasm-release | OK | 84 |
Exports:compareRSSvsSRSrssGWASrssManhattanrssQQrssSamplesimulateGWASsrsSamplestandardGWAS
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compare RSS and SRS GWAS | compareRSSvsSRS |
| Example GWAS Dataset | gwas_data |
| RSS-Based GWAS | rssGWAS |
| Manhattan Plot | rssManhattan |
| QQ Plot for GWAS | rssQQ |
| Ranked Set Sampling (RSS) | rssSample |
| Simulate GWAS Data | simulateGWAS |
| Simple Random Sampling | srsSample |
| Standard GWAS Analysis | standardGWAS |