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An implementation of an algorithm for outlier detection that can handle a) data with a mixed categorical and continuous variables, b) many columns of data, c) many rows of data, d) outliers that mask other outliers, and e) both unidimensional and multidimensional datasets. Unlike ad hoc methods found in many machine learning papers, HDoutliers is based on a distributional model that uses probabilities to determine outliers.
Package details 


Author  Chris Fraley [aut, cre], Leland Wilkinson [ctb] 
Maintainer  Chris Fraley <cfraley@tableau.com> 
License  MIT + file LICENSE 
Version  1.0.2 
Package repository  View on CRAN 
Installation 
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