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GRSxE  

Testing Gene-Environment Interactions Through Genetic Risk Scores
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("GRSxE", "1.0.1")



Attach the package and use:
library("GRSxE")
Maintained by
Michael Lau
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-11
Latest Update: 2023-10-30
Description:
Statistical testing procedures for detecting GxE (gene-environment) interactions. The main focus lies on GRSxE interaction tests that aim at detecting GxE interactions through GRS (genetic risk scores). Moreover, a novel testing procedure based on bagging and OOB (out-of-bag) predictions is implemented for incorporating all available observations at both GRS construction and GxE testing (Lau et al., 2023, ).
How to cite:
Michael Lau (2022). GRSxE: Testing Gene-Environment Interactions Through Genetic Risk Scores. R package version 1.0.1, https://cran.r-project.org/web/packages/GRSxE. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2022-11-11 16:40)
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Complete documentation for GRSxE
Functions, R codes and Examples using the GRSxE R package
Some associated functions: GRSxE . GxE . 
Some associated R codes: GRSxE.R .  Full GRSxE package functions and examples
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