CerioliOutlierDetection

Outlier Detection Using the Iterated RMCD Method of Cerioli (2010)

CRAN Package

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.


Documentation


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Insights

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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0 downloadsMar 2, 2025
19 downloadsMar 3, 2025
14 downloadsMar 4, 2025
30 downloadsMar 5, 2025
3 downloadsMar 6, 2025
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10 downloadsApr 1, 2025
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0 downloadsApr 5, 2025
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The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

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.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


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Dependencies

  • Imports1 package
  • Suggests3 packages