rrcov: Scalable Robust Estimators with High Breakdown Point

Robust Location and Scatter Estimation and Robust Multivariate Analysis with High Breakdown Point.

Version: 1.4-7
Depends: R (≥ 2.10), robustbase (≥ 0.92.1), methods
Imports: stats, stats4, mvtnorm, lattice, cluster, pcaPP
Suggests: grid, MASS, ellipse
Published: 2018-11-15
Author: Valentin Todorov
Maintainer: Valentin Todorov <valentin.todorov at chello.at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: rrcov citation info
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_1.4-7.tar.gz
Windows binaries: r-devel: rrcov_1.4-7.zip, r-release: rrcov_1.4-7.zip, r-oldrel: rrcov_1.4-7.zip
OS X binaries: r-release: rrcov_1.4-7.tgz, r-oldrel: rrcov_1.4-7.tgz
Old sources: rrcov archive

Reverse dependencies:

Reverse depends: biwt, BMA, DepthProc, fsdaR, groc, muma, riv, RobAStBase, robustfa, rrcov3way, rrcovHD, rrcovNA
Reverse imports: bigdatadist, cellWise, FactoInvestigate, GSE, ICSShiny, MAINT.Data, mfe, RcmdrPlugin.PcaRobust, robCompositions, RobStatTM, robust, rospca
Reverse suggests: CerioliOutlierDetection, ChemometricsWithR, fscaret, ltsspca


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