CRAN/E | tsintermittent

tsintermittent

Intermittent Time Series Forecasting

Installation

About

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).

kourentzes.com/forecasting/2014/06/23/intermittent-demand-forecasting-package-for-r/

Key Metrics

Version 1.10
Published 2022-07-18 654 days ago
Needs compilation? no
License GPL-2
License GPL-3
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Maintainer

Maintainer

Nikolaos Kourentzes

nikolaos@kourentzes.com

Authors

Nikolaos Kourentzes

cre / aut

Fotios Petropoulos

ctb

Material

README
ChangeLog
Reference manual
Package source

In Views

TimeSeries

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

tsintermittent archive

Imports

MAPA
parallel