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CerioliOutlierDetection  

Outlier Detection Using the Iterated RMCD Method of Cerioli (2010)
View on CRAN: Click here


Download and install CerioliOutlierDetection package within the R console
Install from CRAN:
install.packages("CerioliOutlierDetection")

Install from Github:
library("remotes")
install_github("cran/CerioliOutlierDetection")

Install by package version:
library("remotes")
install_version("CerioliOutlierDetection", "1.1.15")



Attach the package and use:
library("CerioliOutlierDetection")
Maintained by
Christopher G. Green
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-08-02
Latest Update: 2024-06-23
Description:
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 (2017).
How to cite:
Christopher G. Green (2014). CerioliOutlierDetection: Outlier Detection Using the Iterated RMCD Method of Cerioli (2010). R package version 1.1.15, https://cran.r-project.org/web/packages/CerioliOutlierDetection. Accessed 18 Sep. 2026.
Previous versions and publish date:
1.0.8 (2014-08-02 07:29), 1.1.5 (2016-07-08 11:11), 1.1.9 (2017-07-25 10:10), 1.1.13 (2023-10-29 12:50), (2026-07-09 08:00)
Other packages that cited CerioliOutlierDetection R package
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Other R packages that CerioliOutlierDetection depends, imports, suggests or enhances
Complete documentation for CerioliOutlierDetection
Functions, R codes and Examples using the CerioliOutlierDetection R package
Some associated functions: CerioliOutlierDetection . cerioli2010.fsrmcd.test . cerioli2010.irmcd.test . ch99AsymptoticDF . hr05AdjustedDF . hr05CriticalValue . hr05CutoffMvnormal . 
Some associated R codes: Full CerioliOutlierDetection package functions and examples
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