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Free Open-Source Forecasting Using R

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published
<mark>Journal publication date</mark>2010
<mark>Journal</mark>Foresight: The International Journal of Applied Forecasting
Issue number17
Number of pages5
Pages (from-to)19-23
Publication StatusPublished
<mark>Original language</mark>English

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