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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 "tsforecast" in publications use:'
type: software
license: GPL-3.0-only
title: 'tsforecast: Time Series Forecasting Functions'
version: 1.3.0
doi: 10.32614/CRAN.package.tsforecast
abstract: 'Fundamental time series forecasting models such as autoregressive integrated
  moving average (ARIMA), exponential smoothing, and simple moving average are included.
  For ARIMA models, the output follows the traditional parameterisation by Box and
  Jenkins (1970, ISBN: 0816210942, 9780816210947). Furthermore, there are functions
  for detailed time series exploration and decomposition, respectively. All data and
  result visualisations are generated by ''ggplot2'' instead of conventional R graphical
  output. For more details regarding the theoretical background of the models see
  Hyndman, R.J. and Athanasopoulos, G. (2021) <https://otexts.com/fpp3/>.'
authors:
- family-names: Wu
  given-names: Ka Yui Karl
  email: karlwuky@suss.edu.sg
repository: https://cran.r-universe.dev
commit: 05c2d041804f6ffea427cd1f9e90fc33b618f42c
date-released: '2026-01-15'
contact:
- family-names: Wu
  given-names: Ka Yui Karl
  email: karlwuky@suss.edu.sg