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 [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.html , 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:

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