Robust Multivariate Methods for High Dimensional Data R package rrcovHD version 0.3-1 CRAN Task View: AnomalyDetection (https://CRAN.R-project.org/view=AnomalyDetection) CRAN Task View: Robust (https://CRAN.R-project.org/view=Robust) Robust multivariate methods for high dimensional data including outlier detection (Filzmoser and Todorov (2013) <doi:10.1016/j.ins.2012.10.017>), robust sparse PCA (Croux et al. (2013) <doi:10.1080/00401706.2012.727746>, Todorov and Filzmoser (2013) <doi:10.1007/978-3-642-33042-1_31>), robust PLS (Todorov and Filzmoser (2014) <doi:10.17713/ajs.v43i4.44>), and robust sparse classification (Ortner et al. (2020) <doi:10.1007/s10618-019-00666-8>). Software Depends: rrcov (>= 1.3-7), robustbase (>= 0.92-1), methods Imports: stats4, pls, spls, pcaPP, robustHD, Rcpp LinkingTo: Rcpp Suggests: MASS Valentin Todorov <valentin.todorov@chello.at> Comprehensive R Archive Network (CRAN) Valentin Todorov [aut, cre] (ORCID: <https://orcid.org/0000-0003-4215-0245>) GPL (>= 3) 2024-08-17 application/tgz https://CRAN.R-project.org/package=rrcovHD doi:10.32614/CRAN.package.rrcovHD