rrcov: Scalable Robust Estimators with High Breakdown Point

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

Version: 1.4-3
Depends: R (≥ 2.10), robustbase (≥ 0.92-1), methods
Imports: stats, stats4, mvtnorm, lattice, cluster, pcaPP
Suggests: grid, mclust, MASS, ellipse
Published: 2016-09-06
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: 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_1.4-3.tar.gz
Windows binaries: r-devel: rrcov_1.4-3.zip, r-release: rrcov_1.4-3.zip, r-oldrel: rrcov_1.4-3.zip
OS X El Capitan binaries: r-release: rrcov_1.4-3.tgz
OS X Mavericks binaries: r-oldrel: rrcov_1.4-3.tgz
Old sources: rrcov archive

Reverse dependencies:

Reverse depends: biwt, BMA, DepthProc, FAiR, FRB, groc, muma, riv, RobAStBase, robustfa, rrcov3way, rrcovHD, rrcovNA
Reverse imports: FactoInvestigate, GSE, MAINT.Data, RcmdrPlugin.PcaRobust, robCompositions, robust, rospca
Reverse suggests: cellWise, CerioliOutlierDetection, ChemometricsWithR, fscaret


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