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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
DOI: 10.32614/CRAN.package.GEInfo
Author: Xiaoyan Wang, Hongduo Liu, and Shuangge Ma
Maintainer: Xiaoyan Wang <xywang at hnu.edu.cn>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: GEInfo results

Documentation:

Reference manual: GEInfo.pdf

Downloads:

Package source: GEInfo_1.0.tar.gz
Windows binaries: r-devel: GEInfo_1.0.zip, r-release: GEInfo_1.0.zip, r-oldrel: GEInfo_1.0.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GEInfo 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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