Free Open-Source Forecasting Using R
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
Year of publication: |
2010
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Authors: | Kolassa, Stephan ; Hyndman, Rob J. |
Published in: |
Foresight: The International Journal of Applied Forecasting. - International Institute of Forecasters - IIF. - 2010, 17, p. 19-23
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Publisher: |
International Institute of Forecasters - IIF |
Saved in:
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