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fable.intermittent  

Forecasting Models for Intermittent Time Series
View on CRAN: Click here


Download and install fable.intermittent package within the R console
Install from CRAN:
install.packages("fable.intermittent")

Install from Github:
library("remotes")
install_github("cran/fable.intermittent")

Install by package version:
library("remotes")
install_version("fable.intermittent", "0.1.0")



Attach the package and use:
library("fable.intermittent")
Maintained by
Stefano Damato
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-18
Latest Update: 2026-06-18
Description:
Extends the 'fable' framework to support forecasting methods specifically designed for intermittent time series data, where demand occurs sporadically with many zero values. All methods produce probabilistic forecasts returned as 'distributional' objects. The returned forecasts can be used to evaluate accuracy, plot and print the results seamlessly with 'fable'. The methods include: Harvey, Fernandes (1989) <doi:10.1080/07350015.1989.10509750>, Willemain, Smart, Schwarz (2004) <doi:10.1016/S0169-2070(03)00013-X>, Zhou, Viswanathan (2011) <doi:10.1016/j.ijpe.2010.09.021>, Snyder, Ord, Beaumont (2012) <doi:10.1016/j.ijforecast.2011.03.009>, Kolassa (2016) <doi:10.1016/j.ijforecast.2015.12.004>, Hasni, Aguir, Babai, Jemai (2019) <doi:10.1080/00207543.2018.1424375>, Damato, Azzimonti, Corani (2025) <doi:10.1016/j.ijforecast.2025.10.001>, Sbrana (2025) <doi:10.1080/01605682.2025.2569661>.
How to cite:
Stefano Damato (2026). fable.intermittent: Forecasting Models for Intermittent Time Series. R package version 0.1.0, https://cran.r-project.org/web/packages/fable.intermittent. Accessed 07 Aug. 2026.
Previous versions and publish date:
(2026-07-27 19:50), 0.1.0 (2026-06-18 12:00), 0.1.1 (2026-06-25 00:40)
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Complete documentation for fable.intermittent
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