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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) <doi:10.1198/106186005X77685> and Green and Martin (2017).
| Version: | 1.1.13 |
| Depends: | R (≥ 4.0.0) |
| Imports: | robustbase (≥ 0.91-1) |
| Suggests: | rrcov, mvtnorm, mclust |
| Published: | 2023-10-29 |
| Author: | Christopher G. Green [aut, cre] (-7877), R. Doug Martin [ths] |
| Maintainer: | Christopher G. Green <christopher.g.green at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://christopherggreen.github.io/CerioliOutlierDetection/ |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | CerioliOutlierDetection results |
| Reference manual: | CerioliOutlierDetection.pdf |
| Package source: | CerioliOutlierDetection_1.1.13.tar.gz |
| Windows binaries: | r-devel: CerioliOutlierDetection_1.1.13.zip, r-release: CerioliOutlierDetection_1.1.13.zip, r-oldrel: CerioliOutlierDetection_1.1.13.zip |
| macOS binaries: | r-release (arm64): CerioliOutlierDetection_1.1.13.tgz, r-oldrel (arm64): CerioliOutlierDetection_1.1.13.tgz, r-release (x86_64): CerioliOutlierDetection_1.1.13.tgz, r-oldrel (x86_64): CerioliOutlierDetection_1.1.13.tgz |
| Old sources: | CerioliOutlierDetection archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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