Package: tsintermittent
Type: Package
Title: Intermittent Time Series Forecasting
Version: 2.0
Date: 2026-11-08
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. Intermittent time series classification methods and iMAPA that uses multiple temporal aggregation levels are also provided. Empirical quantiles of the demand over the lead time are calculated from the cumulative forecast errors.
LazyData: yes
License: GPL (>= 2)
Depends: R (>= 4.1.0)
Imports: generics, graphics, grDevices, parallel, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Config/testthat/edition: 3
URL:
        https://kourentzes.com/forecasting/2014/06/23/intermittent-demand-forecasting-package-for-r/,
        https://github.com/trnnick/tsintermittent
BugReports: https://github.com/trnnick/tsintermittent/issues
Config/roxygen2/version: 8.1.1
NeedsCompilation: no
Packaged: 2026-11-13 14:22:24 UTC; nikos
Author: Nikolaos Kourentzes [cre, aut] (ORCID:
    <https://orcid.org/0000-0003-0211-5218>),
  Fotios Petropoulos [ctb] (ORCID:
    <https://orcid.org/0000-0003-3039-4955>)
Maintainer: Nikolaos Kourentzes <nikolaos@kourentzes.com>
Repository: CRAN
Date/Publication: 2026-11-14 12:30:02 UTC
