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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>.

Version: 0.1.0
Imports: stats, SPAtest, mvtnorm
Published: 2022-09-23
DOI: 10.32614/CRAN.package.cwot
Author: Hong Zhang ORCID iD [aut, cre]
Maintainer: Hong Zhang <hzhang at wpi.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: cwot results

Documentation:

Reference manual: cwot.pdf

Downloads:

Package source: cwot_0.1.0.tar.gz
Windows binaries: r-devel: cwot_0.1.0.zip, r-release: cwot_0.1.0.zip, r-oldrel: cwot_0.1.0.zip
macOS binaries: r-release (arm64): cwot_0.1.0.tgz, r-oldrel (arm64): cwot_0.1.0.tgz, r-release (x86_64): cwot_0.1.0.tgz, r-oldrel (x86_64): cwot_0.1.0.tgz

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These binaries (installable software) and packages are in development.
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