Detection of Univariate Outliers

Provides well-known techniques for detecting univariate outliers. Methods for handling skewed distributions are included. The Hidiroglou-Berthelot (1986) method for detecting outliers in ratios of historical data is also implemented. When available, survey weights can be incorporated in the detection process.


Reference manual

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install.packages("univOutl")

0.5.0 by Marcello D'Orazio, 8 months ago


https://github.com/marcellodo/univOutl


Browse source code at https://github.com/cran/univOutl


Authors: Marcello D'Orazio [aut, cre]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports robustbase, Hmisc


Imported by adamethods.


See at CRAN