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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "envoutliers" in publications use:'
type: software
license: GPL-2.0-only
title: 'envoutliers: Methods for Identification of Outliers in Environmental Data'
version: 1.1.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.envoutliers
abstract: '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>).'
authors:
- family-names: Campulova
  given-names: Martina
  email: martina.campulova@mendelu.cz
preferred-citation:
  type: unpublished
  title: An R Package for Identification of Outliers in Environmental Data
  authors:
  - family-names: Martina
    given-names: Campulova
  - family-names: Roman
    given-names: Campula
  year: '2019'
  notes: To be published
repository: https://cranhaven.r-universe.dev
commit: f94c416b9db9556be74d36ecab619a242edf43b2
date-released: '2026-10-12'
contact:
- family-names: Campulova
  given-names: Martina
  email: martina.campulova@mendelu.cz