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
Volume (Year): (2010)
Issue (Month): 17 (Spring)
|Contact details of provider:|| Web page: https://www.forecasters.org/|
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:for:ijafaa:y:2010:i:17:p:19-23. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Pam Stroud)
If references are entirely missing, you can add them using this form.