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>.

Version: 1.0.0
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)
Published: 2024-02-23
Author: Jasin Machkour [aut, cre], Simon Tien [aut], Daniel P. Palomar [aut], Michael Muma [aut]
Maintainer: Jasin Machkour <jasin.machkour at tu-darmstadt.de>
BugReports: https://github.com/jasinmachkour/TRexSelector/issues
License: GPL (≥ 3)
URL: https://github.com/jasinmachkour/TRexSelector, https://arxiv.org/abs/2110.06048
NeedsCompilation: no
Citation: TRexSelector citation info
Materials: README NEWS
CRAN checks: TRexSelector results

Documentation:

Reference manual: TRexSelector.pdf
Vignettes: The T-Rex Selector: Usage and Simulations

Downloads:

Package source: TRexSelector_1.0.0.tar.gz
Windows binaries: r-devel: TRexSelector_1.0.0.zip, r-release: TRexSelector_1.0.0.zip, r-oldrel: TRexSelector_1.0.0.zip
macOS binaries: r-release (arm64): TRexSelector_1.0.0.tgz, r-oldrel (arm64): TRexSelector_1.0.0.tgz, r-release (x86_64): TRexSelector_1.0.0.tgz
Old sources: TRexSelector archive

Linking:

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