Package: GEInfo 1.0

Xiaoyan Wang
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.
Authors:
GEInfo_1.0.tar.gz
GEInfo_1.0.tar.gz(r-4.7-any)GEInfo_1.0.tar.gz(r-4.6-any)
GEInfo_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
GEInfo/json (API)
| # Install 'GEInfo' in R: |
| install.packages('GEInfo', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:1b41bdf9e5. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 128 | ||
| source / vignettes | OK | 167 | ||
| linux-release-x86_64 | OK | 123 | ||
| wasm-release | OK | 112 |
Exports:CGEInfocv.CGEInfocv.GEInfoGEInfomatWPubMed.searchTypeS
Dependencies:askpassclicodetoolscurldplyrfarverforeachgenericsglmnetgluegtablehttriteratorsjsonlitelabelinglatticelifecyclemagrittrMASSMatrixmimeopensslpheatmappillarpkgconfigR6RColorBrewerRcppRcppEigenrlangrvestscalesselectrshapestringistringrsurvivalsystibbletidyselectutf8vctrsviridisLitewithrxml2
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| CGEInfo and GEsgMCP approaches with fixed tunings | CGEInfo |
| Extract coefficients from a fitted object | coef.GEInfo |
| Cross-validation for CGEInfo | cv.CGEInfo |
| Cross-validation for GEInfo | cv.GEInfo |
| GEInfo approach with fixed tunings | GEInfo |
| Calculate matrix W | matW |
| Heatmap of the identification results | plot.GEInfo |
| Visualize the prior information | plot.PubMed |
| Make Predictions for a fitted model | predict.GEInfo |
| Search prior counts for G variables and G-E interactions | PubMed.search |
| Construct Type_S prior information | TypeS |