tsintermittent
Intermittent Time Series Forecasting
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).
- Version1.10
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release07/18/2022
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Team
Nikolaos Kourentzes
Fotios Petropoulos
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- Imports1 package