Package: TRexSelector 1.0.0
TRexSelector: T-Rex Selector: High-Dimensional Variable Selection & FDR Control
Performs fast variable selection in high-dimensional settings while controlling the false discovery rate (FDR) at a user-defined target level. The package is based on the paper Machkour, Muma, and Palomar (2022) <arxiv:2110.06048>.
Authors:
TRexSelector_1.0.0.tar.gz
TRexSelector_1.0.0.zip(r-4.5)TRexSelector_1.0.0.zip(r-4.4)TRexSelector_1.0.0.zip(r-4.3)
TRexSelector_1.0.0.tgz(r-4.4-any)TRexSelector_1.0.0.tgz(r-4.3-any)
TRexSelector_1.0.0.tar.gz(r-4.5-noble)TRexSelector_1.0.0.tar.gz(r-4.4-noble)
TRexSelector_1.0.0.tgz(r-4.4-emscripten)TRexSelector_1.0.0.tgz(r-4.3-emscripten)
TRexSelector.pdf |TRexSelector.html✨
TRexSelector/json (API)
NEWS
# Install 'TRexSelector' in R: |
install.packages('TRexSelector', repos = c('https://jasinmachkour.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jasinmachkour/trexselector/issues
- Gauss_data - Toy data generated from a Gaussian linear model
Last updated 9 months agofrom:4926107888. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-win | OK | Nov 20 2024 |
R-4.5-linux | OK | Nov 20 2024 |
R-4.4-win | OK | Nov 20 2024 |
R-4.4-mac | OK | Nov 20 2024 |
R-4.3-win | OK | Nov 20 2024 |
R-4.3-mac | OK | Nov 20 2024 |
Exports:add_dummiesadd_dummies_GVSFDPlm_dummyrandom_experimentsscreen_trexTPPtrex
Dependencies:bootcodetoolsdigestdoParalleldoRNGforeachglmnetiteratorslatticeMASSMatrixRcppRcppArmadilloRcppEigenrngtoolsshapesurvivaltlars