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# CITATION 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 "UpDown" in publications use:'
type: software
title: 'UpDown: Detecting Group Disturbances from Longitudinal Observations'
version: 1.2.2
doi: 10.32614/CRAN.package.UpDown
abstract: Provides an algorithm to detect and characterize disturbances (start, end
  dates, intensity) that can occur at different hierarchical levels by studying the
  dynamics of longitudinal observations at the unit level and group level based on
  Nadaraya-Watson's smoothing curves, but also a shiny app which allows to visualize
  the observations and the detected disturbances. Finally the package provides a dataframe
  mimicking a pig farming system subsected to disturbances simulated according to
  Le et al.(2022) <https://doi.org/10.1016/j.animal.2022.100496>.
authors:
- family-names: Rohmer
  given-names: Tom
  email: tom.rohmer@inrae.fr
- family-names: Le
  given-names: Vincent
  email: giang-nam.le@inrae.fr
- family-names: David
  given-names: Ingrid
  email: Ingrid.david@inrae.fr
repository: https://tomrohmer.r-universe.dev
commit: 314aadea4aa10f34d09c1b4cf898315b29481b53
contact:
- family-names: Rohmer
  given-names: Tom
  email: tom.rohmer@inrae.fr