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>.
