cwot
0.1.0Cauchy Weighted Joint Test for Pharmacogenetics Analysis
Overview
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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- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Code & Tests
- Cyclomatic complexity
- 2.0 median / 5 max
- Documented parameters
- 100%
Test coverage
Line coverage
–
Expression
–
Tests / Examples
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Functions
5 4 exported
Complexity
2.2 avg / 5 max
Call network
5 nodes / 1 edges
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People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2022-09-23
- Total releases
- 1 / 4 yrs
- License
- GPL-2 OSI
- Download size
- 3.9 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet