Package: srlars
Type: Package
Title: Fast and Scalable Cellwise-Robust Ensemble
Version: 3.0.0
Date: 2026-06-12
Authors@R: c(person("Anthony", "Christidis", role=c("aut", "cre"), email = "anthony.christidis@stat.ubc.ca"),
             person("Gabriela", "Cohen-Freue", role=c("aut"), email = "gcohen@stat.ubc.ca"))
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>
Description: Functions to perform robust variable selection and regression using the Fast and Scalable 
             Cellwise-Robust Ensemble (FSCRE) algorithm. The approach establishes a robust foundation 
             using the Detect Deviating Cells (DDC) algorithm and robust correlation estimates. It then 
             employs a competitive ensemble architecture where a robust Least Angle Regression (LARS) 
             engine proposes candidate variables and cross-validation arbitrates their assignment. A final 
             robust MM-estimator is applied to the selected predictors.
License: GPL (>= 2)
Encoding: UTF-8
Biarch: true
Imports: cellWise, robustbase, mvnfast
Suggests: testthat
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-06-12 05:01:05 UTC; anthony
Author: Anthony Christidis [aut, cre],
  Gabriela Cohen-Freue [aut]
Repository: CRAN
Date/Publication: 2026-06-12 07:10:02 UTC
