Methods for Identification of Outliers in Environmental Data

Three semi-parametric methods for detection of outliers in environmental data based on kernel regression and subsequent analysis of smoothing residuals. The first method (Campulova, Michalek, Mikuska and Bokal (2018) ) analyzes the residuals using changepoint analysis, the second method is based on control charts (Campulova, Veselik and Michalek (2017) ) and the third method (Holesovsky, Campulova and Michalek (2018) ) analyzes the residuals using extreme value theory (Holesovsky, Campulova and Michalek (2018) ).


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1.1.0 by Martina Campulova, a year ago

Browse source code at

Authors: Martina Campulova [cre] , Martina Campulova [aut] , Roman Campula [ctb]

Documentation:   PDF Manual  

GPL-2 license

Imports MASS, car, changepoint, ecp, graphics, ismev, lokern, robustbase, stats

Suggests openair

See at CRAN