Package: GRSxE 1.0.1

GRSxE: Testing Gene-Environment Interactions Through Genetic Risk Scores

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, <doi:10.1038/s41598-023-28172-4>).

Authors:Michael Lau [aut, cre]

GRSxE_1.0.1.tar.gz
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GRSxE.pdf |GRSxE.html
GRSxE/json (API)

# Install 'GRSxE' in R:
install.packages('GRSxE', repos = c('https://michlau.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2 exports 1 stars 0.23 score 11 dependencies 1 scripts 235 downloads

Last updated 11 months agofrom:9e1e85b822. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 25 2024
R-4.5-winOKAug 25 2024
R-4.5-linuxOKAug 25 2024
R-4.4-winOKAug 25 2024
R-4.4-macOKAug 25 2024
R-4.3-winOKAug 25 2024
R-4.3-macOKAug 25 2024

Exports:GRSxEGxE

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixrangerRcppRcppEigenshapesurvival