Implements the iterated RMCD method of Cerioli (2010) for multivariate outlier detection via robust Mahalanobis distances. 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: | 1.1.5 |
| Depends: | R (≥ 3.0.0) |
| Imports: | robustbase (≥ 0.91-1) |
| Suggests: | rrcov, robust, mvtnorm, alr3 |
| Published: | 2016-07-08 |
| 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_1.1.5.tar.gz |
| Windows binaries: | r-devel: CerioliOutlierDetection_1.1.5.zip, r-release: CerioliOutlierDetection_1.1.5.zip, r-oldrel: CerioliOutlierDetection_1.1.5.zip |
| OS X Mavericks binaries: | r-release: CerioliOutlierDetection_1.1.5.tgz, r-oldrel: CerioliOutlierDetection_1.1.5.tgz |
| Old sources: | CerioliOutlierDetection archive |
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