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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>).

Version: 1.0.1
Imports: glmnet, ranger, stats, utils
Published: 2023-10-30
DOI: 10.32614/CRAN.package.GRSxE
Author: Michael Lau ORCID iD [aut, cre]
Maintainer: Michael Lau <michael.lau at hhu.de>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: GRSxE results

Documentation:

Reference manual: GRSxE.pdf

Downloads:

Package source: GRSxE_1.0.1.tar.gz
Windows binaries: r-devel: GRSxE_1.0.1.zip, r-release: GRSxE_1.0.1.zip, r-oldrel: GRSxE_1.0.1.zip
macOS binaries: r-release (arm64): GRSxE_1.0.1.tgz, r-oldrel (arm64): GRSxE_1.0.1.tgz, r-release (x86_64): GRSxE_1.0.1.tgz, r-oldrel (x86_64): GRSxE_1.0.1.tgz
Old sources: GRSxE archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GRSxE to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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