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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 "HIDDA.forecasting" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'HIDDA.forecasting: Forecasting Based on Surveillance Data'
version: 1.1.2
identifiers:
- type: doi
  value: 10.32614/CRAN.package.HIDDA.forecasting
abstract: 'The Handbook of Infectious Disease Data Analysis ("HIDDA") contains a chapter
  on "Forecasting Based on Surveillance Data". The R package ''HIDDA.forecasting''
  provides the data and code to reproduce results from the two applications described
  in that chapter (see the corresponding vignettes): Univariate forecasting of Swiss
  ILI counts using ''forecast'', ''glarma'', ''surveillance'' and ''prophet'', and
  an age-stratified analysis of norovirus gastroenteritis in Berlin using the multivariate
  time-series model implemented in surveillance::hhh4().'
authors:
- family-names: Meyer
  given-names: Sebastian
  email: seb.meyer@fau.de
  orcid: https://orcid.org/0000-0002-1791-9449
preferred-citation:
  type: generic
  title: Forecasting Based on Surveillance Data
  authors:
  - family-names: Held
    given-names: Leonhard
  - family-names: Meyer
    given-names: Sebastian
    email: seb.meyer@fau.de
    orcid: https://orcid.org/0000-0002-1791-9449
  collection-title: Handbook of Infectious Disease Data Analysis
  collection-type: collection
  editors:
  - family-names: Held
    given-names: Leonhard
  - family-names: Hens
    given-names: Niel
  - family-names: O'Neill
    given-names: Philip D.
  - family-names: Wallinga
    given-names: Jacco
  publisher:
    name: Chapman \& Hall/CRC
  section: '25'
  year: '2019'
repository: https://ee-lib.r-universe.dev
repository-code: https://github.com/HIDDA/forecasting
commit: 74ca2570c8fcf17314c5bca5e8a3369b3aed8c07
url: https://hidda.github.io/forecasting/
date-released: '2023-11-29'
contact:
- family-names: Meyer
  given-names: Sebastian
  email: seb.meyer@fau.de
  orcid: https://orcid.org/0000-0002-1791-9449