T-Rex Selector: High-Dimensional Variable Selection & FDR Control R package TRexSelector version 1.0.0 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>. Software Depends: R (>= 2.10) Imports: MASS, stats, tlars, parallel, doParallel, foreach, doRNG, methods, glmnet, boot Suggests: knitr, rmarkdown, ggplot2, patchwork, WGCNA, fastcluster, testthat (>= 3.0.0) Jasin Machkour <jasin.machkour@tu-darmstadt.de> Comprehensive R Archive Network (CRAN) Jasin Machkour [aut, cre], Simon Tien [aut], Daniel P. Palomar [aut], Michael Muma [aut] GPL (>= 3) 2024-02-23 application/tgz https://CRAN.R-project.org/package=TRexSelector doi:10.32614/CRAN.package.TRexSelector