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>).
Version: 0.3-1 Depends: rrcov (≥ 1.3-7), robustbase (≥ 0.92-1), methods Imports: stats4, pls, spls, pcaPP, robustHD, Rcpp LinkingTo: Rcpp Suggests: MASS Published: 2024-08-17 DOI: 10.32614/CRAN.package.rrcovHD Author: Valentin Todorov [aut, cre] Maintainer: Valentin Todorov <valentin.todorov at chello.at> BugReports: https://github.com/valentint/rrcovHD/issues License: GPL (≥ 3) URL: https://github.com/valentint/rrcovHD NeedsCompilation: yes Materials: README ChangeLog In views: Robust CRAN checks: rrcovHD results Documentation: Reference manual: rrcovHD.pdf Downloads: Package source: rrcovHD_0.3-1.tar.gz Windows binaries: r-devel: rrcovHD_0.3-1.zip, r-release: rrcovHD_0.3-1.zip, r-oldrel: rrcovHD_0.3-1.zip macOS binaries: r-release (arm64): rrcovHD_0.3-1.tgz, r-oldrel (arm64): rrcovHD_0.3-1.tgz, r-release (x86_64): rrcovHD_0.3-1.tgz, r-oldrel (x86_64): rrcovHD_0.3-1.tgz Old sources: rrcovHD archive Reverse dependencies: Reverse suggests: flowml Linking:Please use the canonical form https://CRAN.R-project.org/package=rrcovHD to link to this page.
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