CerioliOutlierDetection: Outlier detection using the iterated RMCD method of Cerioli (2010)

This package provides the iterated RMCD method of Cerioli (2010) for multivariate outlier detection via robust Mahalanobis distances. It also provides the finite-sample RMCD method discussed in the paper, as well as the methods provided in Hardin and Rocke (2005) and Green and Martin (2014).

Version: 1.0.8
Depends: R (≥ 3.0.0)
Imports: robustbase (≥ 0.91-1)
Suggests: rrcov, robust, mvtnorm
Published: 2014-08-02
Author: Christopher G. Green [aut, cre], R. Doug Martin [ths]
Maintainer: Christopher G. Green <christopher.g.green at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://christopherggreen.github.io/CerioliOutlierDetection/
NeedsCompilation: no
Materials: README
CRAN checks: CerioliOutlierDetection results


Reference manual: CerioliOutlierDetection.pdf
Package source: CerioliOutlierDetection_1.0.8.tar.gz
Windows binaries: r-devel: CerioliOutlierDetection_1.0.8.zip, r-release: CerioliOutlierDetection_1.0.8.zip, r-oldrel: CerioliOutlierDetection_1.0.8.zip
OS X Snow Leopard binaries: r-release: CerioliOutlierDetection_1.0.8.tgz, r-oldrel: CerioliOutlierDetection_1.0.8.tgz
OS X Mavericks binaries: r-release: CerioliOutlierDetection_1.0.8.tgz