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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.
Getting started
Browse package contents
Package details |
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| Author | Xiaoyan Wang, Hongduo Liu, and Shuangge Ma |
| Maintainer | Xiaoyan Wang <xywang@hnu.edu.cn> |
| License | GPL |
| Version | 1.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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