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>).
Version: 0.8.1 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 Published: 2024-06-30 DOI: 10.32614/CRAN.package.robustHD Author: Andreas Alfons [aut, cre], Dirk Eddelbuettel [ctb] Maintainer: Andreas Alfons <alfons at ese.eur.nl> BugReports: https://github.com/aalfons/robustHD/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/aalfons/robustHD NeedsCompilation: yes Citation: robustHD citation info Materials: NEWS CRAN checks: robustHD results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=robustHD to link to this page.
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