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
Imports: MASS, car, changepoint, ecp, graphics, ismev, lokern,
        robustbase, stats
Suggests: openair
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2026-09-24 11:53:48 UTC; root
Author: Martina Campulova [cre], Martina Campulova [aut], Roman Campula
        [ctb]
Maintainer: Martina Campulova <martina.campulova@mendelu.cz>
Repository: https://cran.r-universe.dev
Date/Publication: 2020-05-07 14:20:02 UTC
RemoteUrl: https://github.com/cran/envoutliers
RemoteRef: HEAD
RemoteSha: 033fb75502a42d2bee5ff0cdd49abb6ff66463e5