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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 "caretForecast" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'caretForecast: Conformal Time Series Forecasting Using State of Art Machine
  Learning Algorithms'
version: 0.1.3
doi: 10.32614/CRAN.package.caretForecast
abstract: Conformal time series forecasting using the caret infrastructure. It provides
  access to state-of-the-art machine learning models for forecasting applications.
  The hyperparameter of each model is selected based on time series cross-validation,
  and forecasting is done recursively.
authors:
- family-names: Akay
  given-names: Resul
  email: resul.akay@taf-society.org
repository: https://taf-society.r-universe.dev
repository-code: https://github.com/taf-society/caretForecast
commit: af9e33761968d183074c4cd0c3df3888a57cf0ea
url: https://taf-society.github.io/caretForecast/
date-released: '2026-01-31'
contact:
- family-names: Akay
  given-names: Resul
  email: resul.akay@taf-society.org