Package: envoutliers Type: Package Title: Methods for Identification of Outliers in Environmental Data Version: 1.1.0 Authors@R: c( person("Martina", "Campulova", email = "martina.campulova@mendelu.cz", role = c("cre")), person("Martina", "Campulova", email = "martina.campulova@mendelu.cz", role = c("aut")), person("Roman", "Campula", email = "roman.campula@cdv.cz", role = c("ctb"))) Description: 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) ). License: GPL-2 Encoding: UTF-8 LazyData: true Imports: MASS, car, changepoint, ecp, graphics, ismev, lokern, robustbase, stats Suggests: openair RoxygenNote: 6.1.1 NeedsCompilation: no Packaged: 2020-05-07 14:29:35 UTC; roman Author: Martina Campulova [cre], Martina Campulova [aut], Roman Campula [ctb] Maintainer: Martina Campulova Repository: CRAN Date/Publication: 2020-05-07 15:20:02 UTC