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Time series methods for intermittent demand forecasting. Includes Croston's method and its variants (Moving Average, SBA), and the TSB method. Users can obtain optimal parameters on a variety of loss functions, or use fixed ones (Kourenztes (2014) doi:10.1016/j.ijpe.2014.06.007). Intermittent time series classification methods and iMAPA that uses multiple temporal aggregation levels are also provided (Petropoulos & Kourenztes (2015) doi:10.1057/jors.2014.62).
kourentzes.com/forecasting/2014/06/23/intermittent-demand-forecasting-package-for-r/ |
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