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>).
| Version: | 1.10 |
| Imports: | MAPA, parallel |
| Published: | 2022-07-18 |
| Author: | Nikolaos Kourentzes
 [cre, aut],
Fotios Petropoulos
[ctb] |
| Maintainer: | Nikolaos Kourentzes <nikolaos at kourentzes.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://kourentzes.com/forecasting/2014/06/23/intermittent-demand-forecasting-package-for-r/ |
| NeedsCompilation: | no |
| Materials: | README ChangeLog |
| In views: | TimeSeries |
| CRAN checks: | tsintermittent results |
Documentation:
| Reference manual: | tsintermittent.pdf |
Downloads:
| Package source: | tsintermittent_1.10.tar.gz |
| Windows binaries: | r-devel: tsintermittent_1.10.zip, r-release: tsintermittent_1.10.zip, r-oldrel: tsintermittent_1.10.zip |
| macOS binaries: | r-release (arm64): tsintermittent_1.10.tgz, r-oldrel (arm64): tsintermittent_1.10.tgz, r-release (x86_64): tsintermittent_1.10.tgz, r-oldrel (x86_64): tsintermittent_1.10.tgz |
| Old sources: | tsintermittent archive |
Linking:
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