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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 "ForecastingEnsembles" in publications use:'
type: software
license: MIT
title: 'ForecastingEnsembles: Time Series Forecasting Using 23 Individual Models'
version: 0.5.1
doi: 10.32614/CRAN.package.ForecastingEnsembles
abstract: Runs multiple individual time series models, and combines them into an ensembles
  of time series models. This is mainly used to predict the results of the monthly
  labor market report from the United States Bureau of Labor Statistics for virtually
  any part of the economy reported by the Bureau of Labor Statistics, but it can be
  easily modified to work with other types of time series data. For example, the package
  was used to predict the winning men's and women's time for the 2024 London Marathon.
authors:
- family-names: Conte
  given-names: Russ
  email: russconte@mac.com
repository: https://infinitecuriosity.r-universe.dev
repository-code: https://github.com/InfiniteCuriosity/ForecastingEnsembles
commit: db319efade282d122e9594b776ae789c18a448a7
url: https://github.com/InfiniteCuriosity/ForecastingEnsembles
date-released: '2025-10-12'
contact:
- family-names: Conte
  given-names: Russ
  email: russconte@mac.com