Package: cwot 0.1.0
cwot: Cauchy Weighted Joint Test for Pharmacogenetics Analysis
A flexible and robust joint test of the single nucleotide polymorphism (SNP) main effect and genotype-by-treatment interaction effect for continuous and binary endpoints. Two analytic procedures, Cauchy weighted joint test (CWOT) and adaptively weighted joint test (AWOT), are proposed to accurately calculate the joint test p-value. The proposed methods are evaluated through extensive simulations under various scenarios. The results show that the proposed AWOT and CWOT control type I error well and outperform existing methods in detecting the most interesting signal patterns in pharmacogenetics (PGx) association studies. For reference, see Hong Zhang, Devan Mehrotra and Judong Shen (2022) <doi:10.13140/RG.2.2.28323.53280>.
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cwot_0.1.0.tar.gz
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cwot.pdf |cwot.html✨
cwot/json (API)
| # Install 'cwot' in R: |
| install.packages('cwot', repos = c('https://wpihongzhang.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:ad2062ac99. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 26 2024 |
| R-4.5-win | OK | Oct 26 2024 |
| R-4.5-linux | OK | Oct 26 2024 |
| R-4.4-win | OK | Oct 26 2024 |
| R-4.4-mac | OK | Oct 26 2024 |
| R-4.3-win | OK | Oct 26 2024 |
| R-4.3-mac | OK | Oct 26 2024 |
