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) <DOI: 10.1002/cem.2997>) analyzes the residuals using changepoint analysis, the second method is based on control charts (Campulova, Veselik and Michalek (2017) <DOI: 10.1016/j.apr.2017.01.004>) and the third method (Holesovsky, Campulova and Michalek (2018) <DOI: 10.1016/j.apr.2017.06.005>) analyzes the residuals using extreme value theory (Holesovsky, Campulova and Michalek (2018) <DOI: 10.1016/j.apr.2017.06.005>).
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 <martina.campulova@mendelu.cz>
Repository: CRAN
Date/Publication: 2020-05-07 15:20:02 UTC
Built: R 4.6.0; ; 2026-04-25 14:04:08 UTC; unix
