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 you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.