Time Series Forecasting

Updated: Apr 13, 2019



This shiny app can help the users to compare different smoothing models in forecasting, namely simple exponential smoothing, linear exponential smoothing and Holt-Winter method. Users can set the confidence interval and forecasting horizon by themselves. Also, users can choose to put in their own model parameters and see the difference between same model with different sets of parameters. The demo data set in app is “airpass” data set inserted in R package “fma”, you can also choose to upload your own data set.




Run the Shiny App!!!







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