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cwot  

Cauchy Weighted Joint Test for Pharmacogenetics Analysis
View on CRAN: Click here


Download and install cwot package within the R console
Install from CRAN:
install.packages("cwot")

Install from Github:
library("remotes")
install_github("cran/cwot")

Install by package version:
library("remotes")
install_version("cwot", "0.1.0")



Attach the package and use:
library("cwot")
Maintained by
Hong Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-23
Latest Update: 2022-09-23
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) .
How to cite:
Hong Zhang (2022). cwot: Cauchy Weighted Joint Test for Pharmacogenetics Analysis. R package version 0.1.0, https://cran.r-project.org/web/packages/cwot. Accessed 03 Dec. 2024.
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Complete documentation for cwot
Functions, R codes and Examples using the cwot R package
Some associated functions: awot . awot_null . cwot . cwot_null . 
Some associated R codes: awot.R . awot_null.R . cwot.R . cwot_null.R . helpers.R .  Full cwot package functions and examples
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