Outlier Detection Using the Iterated RMCD Method of Cerioli (2010) R package CerioliOutlierDetection version 1.1.15 CRAN Task View: AnomalyDetection (https://CRAN.R-project.org/view=AnomalyDetection) 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>. Software Depends: R (>= 4.0.0) Imports: robustbase (>= 0.91-1) Suggests: rrcov, mvtnorm, mclust Christopher G. Green <christopher.g.green@gmail.com> Comprehensive R Archive Network (CRAN) Christopher G. Green [aut, cre] (ORCID: <https://orcid.org/0000-0003-1277-6597>), R. Doug Martin [ths] GPL (>= 2) 2024-06-23 application/tgz https://CRAN.R-project.org/package=CerioliOutlierDetection doi:10.32614/CRAN.package.CerioliOutlierDetection