Free Open-Source Forecasting Using R
AbstractNeelie 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
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Bibliographic InfoArticle provided by International Institute of Forecasters in its journal Foresight: The International Journal of Applied Forecasting.
Volume (Year): (2010)
Issue (Month): 17 (Spring)
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