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:Jasin Machkour [aut, cre], Simon Tien [aut], Daniel P. Palomar [aut], Michael Muma [aut]

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'))

Peer review:

Bug tracker:https://github.com/jasinmachkour/trexselector/issues

Datasets:
  • Gauss_data - Toy data generated from a Gaussian linear model

On CRAN:

4.30 score 4 stars 6 scripts 656 downloads 8 exports 18 dependencies

Last updated 9 months agofrom:4926107888. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-winOKNov 20 2024
R-4.5-linuxOKNov 20 2024
R-4.4-winOKNov 20 2024
R-4.4-macOKNov 20 2024
R-4.3-winOKNov 20 2024
R-4.3-macOKNov 20 2024

Exports:add_dummiesadd_dummies_GVSFDPlm_dummyrandom_experimentsscreen_trexTPPtrex

Dependencies:bootcodetoolsdigestdoParalleldoRNGforeachglmnetiteratorslatticeMASSMatrixRcppRcppArmadilloRcppEigenrngtoolsshapesurvivaltlars

The T-Rex Selector: Usage and Simulations

Rendered fromTRexSelector_usage_and_simulations.Rmdusingknitr::rmarkdownon Nov 20 2024.

Last update: 2024-02-23
Started: 2022-08-11