tsintermittent

Intermittent Time Series Forecasting

v1.10 · Jul 18, 2022 · GPL (>= 2)

Description

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>).

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r-devel-linux-x86_64-debian-clang	OK	98.3s
r-devel-linux-x86_64-debian-gcc	OK	72.2s
r-devel-linux-x86_64-fedora-clang	OK	151s
r-devel-linux-x86_64-fedora-gcc	OK	147.1s
r-devel-macos-arm64	OK	25s
r-devel-windows-x86_64	OK	107s
r-oldrel-macos-arm64	OK
r-oldrel-macos-x86_64	OK	61s
r-oldrel-windows-x86_64	OK	125s
r-patched-linux-x86_64	OK	92.9s
r-release-linux-x86_64	OK	90.4s
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r-release-macos-x86_64	OK	73s
r-release-windows-x86_64	OK	104s

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Version History

new 1.10 Mar 10, 2026

updated 1.10 ← 1.9 diff Jul 17, 2022

updated 1.9 ← 1.8 diff Mar 9, 2016

updated 1.8 ← 1.7 diff Sep 23, 2015

updated 1.7 ← 1.5 diff Sep 16, 2015

updated 1.5 ← 1.4 diff Nov 19, 2014

updated 1.4 ← 1.3 diff Oct 2, 2014

updated 1.3 ← 1.2 diff Aug 3, 2014

updated 1.2 ← 1.1 diff Jul 15, 2014

updated 1.1 ← 1.0 diff Jul 2, 2014

new 1.0 Jun 22, 2014