Package: tsintermittent
Type: Package
Title: Intermittent Time Series Forecasting
Version: 1.10
Date: 2022-07-15
Authors@R: c(
    person("Nikolaos", "Kourentzes", email = "nikolaos@kourentzes.com", role = c("cre","aut"), comment = c(ORCID = "0000-0003-0211-5218")),
    person("Fotios", "Petropoulos", email = "F.Petropoulos@bath.ac.uk", role = "ctb", comment = c(ORCID = "0000-0003-3039-4955")))
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>).
LazyData: yes
License: GPL (>= 2)
Imports: MAPA, parallel
URL:
        https://kourentzes.com/forecasting/2014/06/23/intermittent-demand-forecasting-package-for-r/
NeedsCompilation: no
Packaged: 2022-07-17 10:15:29 UTC; Nikos
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>
Repository: CRAN
Date/Publication: 2022-07-18 08:10:05 UTC
Built: R 4.6.0; ; 2026-04-26 01:20:16 UTC; unix
