> On Jun 8, 2018, at 12:26 PM, Paul Bernal <[email protected]> wrote: > > Dear friends, > > I have been fitting some TS models from the forecast package like ets(), > ses(), hw(), HoltWinters(), stlf(), bats() and tbats(), however, when > trying to use the AIC and BIC functions, I receive the following error > message: > > Error in UseMethod("logLik") : > no applicable method for 'logLik' applied to an object of class "forecast" > > Yes, the message is clear, those functions cannot be applied to objects > from the forecast class. However, I would like to know if there is a way to > assess the goodness of fit for this models that is somewhat equivalent to > AIC and BIC, or of there is any other function that could help me in the > model selection stage, other than computing MASE, MAPE, etc. > > Any help and or guidance will be greatly appreciated. > > [[alternative HTML version deleted]]
Fourth google hit on a search "goodness of fit measures for forecasts" by the author of hte forecast package: goodness of fit measures for forecasts > > ______________________________________________ > [email protected] mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. David Winsemius Alameda, CA, USA 'Any technology distinguishable from magic is insufficiently advanced.' -Gehm's Corollary to Clarke's Third Law ______________________________________________ [email protected] mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
