Package: cwot
Type: Package
Title: Cauchy Weighted Joint Test for Pharmacogenetics Analysis
Version: 0.1.0
Authors@R: c(
    person(given="Hong", family="Zhang", 
    email="hzhang@wpi.edu", role = c("aut", "cre"),
    comment=c(ORCID = "0000-0002-8869-8671"))
  )
Description: 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>.
License: GPL-2
Imports: stats, SPAtest, mvtnorm
Encoding: UTF-8
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2026-09-23 07:10:04 UTC; root
Author: Hong Zhang [aut, cre] (<https://orcid.org/0000-0002-8869-8671>)
Maintainer: Hong Zhang <hzhang@wpi.edu>
Repository: https://wpihongzhang.r-universe.dev
Date/Publication: 2022-09-23 13:40:02 UTC
RemoteUrl: https://github.com/cran/cwot
RemoteRef: HEAD
RemoteSha: ad2062ac9974ecd6186c4c73b9671a52c84bb162