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-4.5-noble)GEInfo_1.0.tar.gz(r-4.4-noble)
GEInfo_1.0.tgz(r-4.4-emscripten)GEInfo_1.0.tgz(r-4.3-emscripten)
GEInfo.pdf |GEInfo.html✨
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 3 years agofrom:1b41bdf9e5. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-linux | OK | Nov 01 2024 |
Exports:CGEInfocv.CGEInfocv.GEInfoGEInfomatWPubMed.searchTypeS
Dependencies:askpassclicodetoolscolorspacecurldplyrfansifarverforeachgenericsglmnetgluegtablehttriteratorsjsonlitelabelinglatticelifecyclemagrittrMASSMatrixmimemunsellopensslpheatmappillarpkgconfigR6RColorBrewerRcppRcppEigenrlangrvestscalesselectrshapestringistringrsurvivalsystibbletidyselectutf8vctrsviridisLitewithrxml2
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 |