rrcovHD: Robust Multivariate Methods for High Dimensional Data

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:	0.3-0
Depends:	rrcov (≥ 1.3-7), robustbase (≥ 0.92-1), methods
Imports:	stats4, pls, spls, pcaPP, robustHD, Rcpp
LinkingTo:	Rcpp
Suggests:	MASS
Published:	2024-02-04
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_0.3-0.tar.gz
Windows binaries:	r-devel: rrcovHD_0.3-0.zip, r-release: rrcovHD_0.3-0.zip, r-oldrel: rrcovHD_0.3-0.zip
macOS binaries:	r-release (arm64): rrcovHD_0.3-0.tgz, r-oldrel (arm64): rrcovHD_0.3-0.tgz, r-release (x86_64): rrcovHD_0.3-0.tgz, r-oldrel (x86_64): rrcovHD_0.3-0.tgz
Old sources:	rrcovHD archive

Reverse dependencies:

Reverse suggests:

flowml

Linking:

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