CerioliOutlierDetection (1.1.9)

0 users

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) and Green and Martin (2017).

Maintainer: Christopher G. Green
Author(s): Christopher G. Green [aut, cre], R. Doug Martin [ths]

License: GPL (>= 2)

Uses: robustbase, alr3, mvtnorm, robust, rrcov

Released almost 3 years ago.

2 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of CerioliOutlierDetection yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for CerioliOutlierDetection on google, google scholar, r-help, r-devel.

Visit CerioliOutlierDetection on R Graphical Manual.