Package: robustHD
Type: Package
Title: Robust Methods for High-Dimensional Data
Version: 0.8.0
Date: 2023-09-26
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, stats, utils
LinkingTo: Rcpp (>= 0.9.10), RcppArmadillo (>= 0.3.0)
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: 7.2.3
Built: R 4.3.1; x86_64-apple-darwin19.6.0; 2023-10-08 03:23:14 UTC; unix
