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:
Departments: Lancaster University Management School > Management Science
ID Code: 134030
Deposited By: ep_importer_pure
Deposited On: 22 Jun 2019 09:14
Refereed?: Yes
Published?: Published
Last Modified: 05 Jan 2020 04:32
URI: https://eprints.lancs.ac.uk/id/eprint/134030

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