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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>).

Versions across snapshots

VersionRepositoryFileSize
1.10 rolling linux/jammy R-4.5 tsintermittent_1.10.tar.gz 108.2 KiB
1.10 rolling linux/noble R-4.5 tsintermittent_1.10.tar.gz 108.1 KiB
1.10 rolling source/ R- tsintermittent_1.10.tar.gz 41.0 KiB
1.10 latest linux/jammy R-4.5 tsintermittent_1.10.tar.gz 108.2 KiB
1.10 latest linux/noble R-4.5 tsintermittent_1.10.tar.gz 108.1 KiB
1.10 latest source/ R- tsintermittent_1.10.tar.gz 41.0 KiB
1.10 2026-04-26 source/ R- tsintermittent_1.10.tar.gz 41.0 KiB
1.10 2026-04-23 source/ R- tsintermittent_1.10.tar.gz 41.0 KiB
1.10 2026-04-09 windows/windows R-4.5 tsintermittent_1.10.zip 111.5 KiB
1.10 2025-04-20 source/ R- tsintermittent_1.10.tar.gz 41.0 KiB

Dependencies (latest)

Imports