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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install.packages("envoutliers")

1.1.0 by Martina Campulova, a year ago


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


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