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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
rolling source/ R- | GEInfo_1.0.tar.gz |
43.7 KiB |
1.0 |
rolling linux/jammy R-4.5 | GEInfo_1.0.tar.gz |
105.2 KiB |
1.0 |
latest source/ R- | GEInfo_1.0.tar.gz |
43.7 KiB |
1.0 |
latest linux/jammy R-4.5 | GEInfo_1.0.tar.gz |
105.2 KiB |
1.0 |
2026-04-23 source/ R- | GEInfo_1.0.tar.gz |
43.7 KiB |
1.0 |
2026-04-09 windows/windows R-4.5 | GEInfo_1.0.zip |
107.4 KiB |
1.0 |
2025-04-20 source/ R- | GEInfo_1.0.tar.gz |
43.7 KiB |