Fast and Scalable Cellwise-Robust Ensemble R package srlars version 3.0.1 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. Software Imports: cellWise, robustbase, mvnfast Suggests: testthat Anthony Christidis <anthony.christidis@stat.ubc.ca> Comprehensive R Archive Network (CRAN) Anthony Christidis [aut, cre], Gabriela Cohen-Freue [aut] GPL (>= 2) 2026-07-02 application/tgz https://CRAN.R-project.org/package=srlars doi:10.32614/CRAN.package.srlars