GEInfo: Gene-Environment Interaction Analysis Incorporating Prior Information

Realize three approaches for Gene-Environment interaction analysis. All of them adopt Sparse Group Minimax Concave Penalty to identify important G variables and G-E interactions, and simultaneously respect the hierarchy between main G and G-E interaction effects. All the three approaches are available for Linear, Logistic, and Poisson regression. Also realize to mine and construct prior information for G variables and G-E interactions.

Version: 1.0
Imports: MASS, glmnet, stats, rvest, dplyr, pheatmap, grDevices, graphics
Published: 2022-01-10
Author: Xiaoyan Wang, Hongduo Liu, and Shuangge Ma
Maintainer: Xiaoyan Wang <xywang at>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: GEInfo results


Reference manual: GEInfo.pdf


Package source: GEInfo_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): GEInfo_1.0.tgz, r-oldrel (arm64): GEInfo_1.0.tgz, r-release (x86_64): GEInfo_1.0.tgz, r-oldrel (x86_64): GEInfo_1.0.tgz


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