Package: srlars
Type: Package
Title: Fast and Scalable Cellwise-Robust Ensemble
Version: 3.1.0
Date: 2026-09-19
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, knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 7.3.3
Config/pak/sysreqs: libicu-dev
Repository: https://anthonychristidis.r-universe.dev
Date/Publication: 2026-09-19 17:42:32 UTC
RemoteUrl: https://github.com/anthonychristidis/srlars
RemoteRef: HEAD
RemoteSha: c947f9aec75ca7b2ab215fdc3465122a326dac4c
NeedsCompilation: no
Packaged: 2026-09-19 18:13:38 UTC; root
Author: Anthony Christidis [aut, cre],
  Gabriela Cohen-Freue [aut]