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>.
Authors:
cwot_0.1.0.tar.gz
cwot_0.1.0.zip(r-4.7)cwot_0.1.0.zip(r-4.6)cwot_0.1.0.zip(r-4.5)
cwot_0.1.0.tgz(r-4.6-any)cwot_0.1.0.tgz(r-4.5-any)
cwot_0.1.0.tar.gz(r-4.7-any)cwot_0.1.0.tar.gz(r-4.6-any)
cwot_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:ad2062ac99. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
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| linux-devel-x86_64 | OK | 102 | ||
| source / vignettes | OK | 123 | ||
| linux-release-x86_64 | OK | 93 | ||
| macos-release-arm64 | OK | 120 | ||
| macos-oldrel-arm64 | OK | 117 | ||
| windows-devel | OK | 79 | ||
| windows-release | OK | 69 | ||
| windows-oldrel | OK | 78 | ||
| wasm-release | OK | 106 |
