Free Open-Source Forecasting Using R

Kolassa, Stephan and Hyndman, Rob J. (2010) Free Open-Source Forecasting Using R. Foresight: The International Journal of Applied Forecasting (17). pp. 19-23. ISSN 1555-9068

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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

Item Type:
Journal Article
Journal or Publication Title:
Foresight: The International Journal of Applied Forecasting
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1800/1803
Subjects:
ID Code:
134030
Deposited By:
Deposited On:
22 Jun 2019 09:14
Refereed?:
Yes
Published?:
Published
Last Modified:
05 Jul 2020 07:10