rrcov: Scalable Robust Estimators with High Breakdown Point

Robust Location and Scatter Estimation and Robust Multivariate Analysis with High Breakdown Point: principal component analysis (Filzmoser and Todorov (2013), <doi:10.1016/j.ins.2012.10.017>), linear and quadratic discriminant analysis (Todorov and Pires (2007)), multivariate tests (Todorov and Filzmoser (2010) <doi:10.1016/j.csda.2009.08.015>), outlier detection (Todorov et al. (2010) <doi:10.1007/s11634-010-0075-2>). See also Todorov and Filzmoser (2009) <ISBN-13:978-3838108148>, Todorov and Filzmoser (2010) <doi:10.18637/jss.v032.i03> and Boudt et al. (2019) <doi:10.1007/s11222-019-09869-x>.

Version: 1.5-5
Depends: R (≥ 2.10), robustbase (≥ 0.92.1), methods
Imports: stats, stats4, mvtnorm, lattice, pcaPP
Suggests: grid, MASS
Published: 2020-08-03
Author: Valentin Todorov ORCID iD [aut, cre]
Maintainer: Valentin Todorov <valentin.todorov at chello.at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: NEWS ChangeLog
In views: Multivariate, Robust
CRAN checks: rrcov results


Reference manual: rrcov.pdf
Vignettes: An Object-Oriented Framework for Robust Multivariate Analysis
Package source: rrcov_1.5-5.tar.gz
Windows binaries: r-devel: rrcov_1.5-5.zip, r-release: rrcov_1.5-5.zip, r-oldrel: rrcov_1.5-5.zip
macOS binaries: r-release: rrcov_1.5-5.tgz, r-oldrel: rrcov_1.5-5.tgz
Old sources: rrcov archive

Reverse dependencies:

Reverse depends: biwt, BMA, DepthProc, flowBeads, fsdaR, groc, muma, riv, RobAStBase, robustfa, rrcov3way, rrcovHD, rrcovNA
Reverse imports: bigdatadist, cellWise, crmReg, DEGraph, FactoInvestigate, flowBeads, flowMeans, flowMerge, flowStats, GSE, ICSShiny, MAINT.Data, mfe, openCyto, RcmdrPlugin.PcaRobust, robCompositions, RobStatTM, robust, rospca, SC3, statTarget, TCIU
Reverse suggests: bigutilsr, CerioliOutlierDetection, DEGraph, fscaret, ltsspca
Reverse enhances: robustbase


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