fable.intermittent: Forecasting Models for Intermittent Time Series
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>.
| Version: |
0.2.0 |
| Depends: |
R (≥ 4.1.0), fabletools (≥ 0.6.0) |
| Imports: |
tsibble (≥ 1.0.0), distributional (≥ 0.7.1), nloptr (≥
2.0.0), rlang (≥ 1.0.0), Rcpp (≥ 1.0.0), generics (≥ 0.1.0), tibble (≥ 3.0.0), tweedieDistr (≥ 0.1.0) |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
dplyr, testthat (≥ 3.3.0), ggtime, ggplot2, knitr, rmarkdown |
| Published: |
2026-07-27 |
| DOI: |
10.32614/CRAN.package.fable.intermittent |
| Author: |
Stefano Damato 
[aut, cre, cph],
Lorenzo Zambon
[aut],
Dario Azzimonti
[aut] |
| Maintainer: |
Stefano Damato <stefanodamato128 at gmail.com> |
| BugReports: |
https://github.com/StefanoDamato/fable.intermittent/issues |
| License: |
LGPL (≥ 3) |
| URL: |
https://github.com/StefanoDamato/fable.intermittent |
| NeedsCompilation: |
yes |
| Materials: |
README, NEWS |
| In views: |
TimeSeries |
| CRAN checks: |
fable.intermittent results |
Documentation:
Downloads:
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