CerioliOutlierDetection
Outlier Detection Using the Iterated RMCD Method of Cerioli (2010)
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) https://christopherggreen.github.io/papers/hr05_extension.pdf. See also Chapter 2 of Green (2017) https://digital.lib.washington.edu/researchworks/handle/1773/40304.
- Version1.1.15
- R version≥ 4.0.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release06/23/2024
Documentation
Team
Christopher G. Green
R. Doug Martin
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Last 30 days
This package has been downloaded 274 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 10 times.
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Last 365 days
This package has been downloaded 3,493 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jun 25, 2024 with 47 downloads.
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Dependencies
- Imports1 package
- Suggests3 packages