Package: rrcovHD Title: Robust Multivariate Methods for High Dimensional Data Version: 0.3-1 VersionNote: Released 0.3-0 on 2024-02-04 on CRAN Authors@R: c(person("Valentin", "Todorov", role = c("aut", "cre"), email = "valentin.todorov@chello.at", comment=c(ORCID = "0000-0003-4215-0245"))) Description: Robust multivariate methods for high dimensional data including outlier detection (Filzmoser and Todorov (2013) ), robust sparse PCA (Croux et al. (2013) , Todorov and Filzmoser (2013) ), robust PLS (Todorov and Filzmoser (2014) ), and robust sparse classification (Ortner et al. (2020) ). Maintainer: Valentin Todorov Depends: rrcov (>= 1.3-7), robustbase (>= 0.92-1), methods Imports: stats4, pls, spls, pcaPP, robustHD, Rcpp LinkingTo: Rcpp Suggests: MASS LazyLoad: yes LazyData: yes License: GPL (>= 3) URL: https://github.com/valentint/rrcovHD BugReports: https://github.com/valentint/rrcovHD/issues Packaged: 2026-06-13 07:39:36 UTC; root NeedsCompilation: yes Author: Valentin Todorov [aut, cre] () Repository: https://valentint.r-universe.dev Date/Publication: 2024-08-17 21:46:33 UTC RemoteUrl: https://github.com/valentint/rrcovhd RemoteRef: HEAD RemoteSha: 5c386ca68518db519649560e0f41741ab8bfda7c