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-4.7)TRexSelector_1.0.0.zip(r-4.6)TRexSelector_1.0.0.zip(r-4.5)
TRexSelector_1.0.0.tgz(r-4.6-any)TRexSelector_1.0.0.tgz(r-4.5-any)
TRexSelector_1.0.0.tar.gz(r-4.7-any)TRexSelector_1.0.0.tar.gz(r-4.6-any)
TRexSelector_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
TRexSelector/json (API)
| # 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 from:7a9fafcbe5. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 169 | ||
| source / vignettes | OK | 552 | ||
| linux-release-x86_64 | OK | 187 | ||
| macos-release-arm64 | OK | 95 | ||
| macos-oldrel-arm64 | OK | 111 | ||
| windows-devel | OK | 117 | ||
| windows-release | OK | 111 | ||
| windows-oldrel | OK | 128 | ||
| wasm-release | OK | 141 |
Exports:add_dummiesadd_dummies_GVSFDPlm_dummyrandom_experimentsscreen_trexTPPtrex
Dependencies:bootcodetoolsdigestdoParalleldoRNGforeachglmnetiteratorslatticeMASSMatrixRcppRcppArmadilloRcppEigenrngtoolsshapesurvivaltlars
