Nothing
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>).
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Nikolaos Kourentzes [cre, aut] (<https://orcid.org/0000-0003-0211-5218>), Fotios Petropoulos [ctb] (<https://orcid.org/0000-0003-3039-4955>) |
| Maintainer | Nikolaos Kourentzes <nikolaos@kourentzes.com> |
| License | GPL (>= 2) |
| Version | 1.10 |
| URL | https://kourentzes.com/forecasting/2014/06/23/intermittent-demand-forecasting-package-for-r/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the tsintermittent package in your browser
Any scripts or data that you put into this service are public.
