Package: robustHD
Type: Package
Title: Robust Methods for High-Dimensional Data
Version: 0.8.4
Date: 2026-01-16
Depends: R (>= 3.5.0), ggplot2 (>= 0.9.2), perry (>= 0.3.0), robustbase
        (>= 0.9-5)
Imports: MASS, Rcpp (>= 0.9.10), grDevices, parallel, rlang, stats,
        utils
LinkingTo: Rcpp (>= 0.9.10), RcppArmadillo (>= 0.7.200.1.0)
Suggests: lars, mvtnorm, testthat
Description: Robust methods for high-dimensional data, in particular
        linear model selection techniques based on least angle
        regression and sparse regression. Specifically, the package
        implements robust least angle regression (Khan, Van Aelst &
        Zamar, 2007; <doi:10.1198/016214507000000950>), (robust)
        groupwise least angle regression (Alfons, Croux & Gelper, 2016;
        <doi:10.1016/j.csda.2015.02.007>), and sparse least trimmed
        squares regression (Alfons, Croux & Gelper, 2013;
        <doi:10.1214/12-AOAS575>).
License: GPL (>= 2)
URL: https://github.com/aalfons/robustHD
BugReports: https://github.com/aalfons/robustHD/issues
LazyLoad: yes
Authors@R: 
    c(person("Andreas", "Alfons",
             email = "alfons@ese.eur.nl",
             role = c("aut", "cre"),
             comment = c(ORCID = "0000-0002-2513-3788")),
      person("Dirk", "Eddelbuettel", role = "ctb"))
Author: Andreas Alfons [aut, cre]
        (<https://orcid.org/0000-0002-2513-3788>), Dirk Eddelbuettel
        [ctb]
Maintainer: Andreas Alfons <alfons@ese.eur.nl>
Encoding: UTF-8
RoxygenNote: 7.3.3
Repository: https://aalfons.r-universe.dev
Date/Publication: 2026-01-16 16:51:31 UTC
RemoteUrl: https://github.com/aalfons/robusthd
RemoteRef: HEAD
RemoteSha: 5c553467590188a7f19c2dad3dc688e791c9d31c
NeedsCompilation: yes
Packaged: 2026-06-24 03:22:43 UTC; root