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Free Open-Source Forecasting Using R

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  • Stephan Kolassa
  • Rob J. Hyndman

Abstract

Neelie Kroes, while antitrust commissioner for the EU, said, “In the current economic context, all companies are looking for cost-effective IT solutions. Systems based on open-source software are increasingly emerging as viable alternatives to proprietary solutions.” Stephan Kolassa and Rob Hyndman provide their evaluation of whether R, an open-source statistical computing environment, can be used for forecasting. They compare it favorably to professionally produced and quality-controlled commercial software. Copyright International Institute of Forecasters, 2010

Suggested Citation

  • Stephan Kolassa & Rob J. Hyndman, 2010. "Free Open-Source Forecasting Using R," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 17, pages 19-23, Spring.
  • Handle: RePEc:for:ijafaa:y:2010:i:17:p:19-23
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