Package: fable.intermittent Title: Forecasting Models for Intermittent Time Series Version: 0.3.0 Authors@R: c(person(given ="Stefano", family ="Damato", role = c("aut", "cre", "cph"), email = "stefanodamato128@gmail.com", comment = c(ORCID = "0009-0001-0225-3736")), person(given = "Lorenzo", family = "Zambon", role = c("aut"), email = "lorenzo.zambon@idsia.ch", comment = c(ORCID = "0000-0002-8939-993X")), person(given = "Dario", family = "Azzimonti", role = c("aut"), email = "dario.azzimonti@gmail.com", comment = c(ORCID = "0000-0001-5080-3061"))) 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) , Willemain, Smart, Schwarz (2004) , Zhou, Viswanathan (2011) , Snyder, Ord, Beaumont (2012) , Kolassa (2016) , Hasni, Aguir, Babai, Jemai (2019) , Damato, Azzimonti, Corani (2025) , Sbrana (2025) , Sbrana, Babai (2026) . License: LGPL (>= 3) Encoding: UTF-8 LazyData: true Roxygen: list(markdown = TRUE) LinkingTo: Rcpp, RcppArmadillo Depends: R (>= 4.1.0), fabletools (>= 0.6.0) Imports: tsibble (>= 1.0.0), distributional (>= 0.9.0), nloptr (>= 2.0.0), rlang (>= 1.0.0), generics (>= 0.1.0), tibble (>= 3.0.0), tweedieDistr (>= 0.2.0) Suggests: covr, dplyr, testthat (>= 3.3.0), ggtime, ggplot2, knitr, rmarkdown VignetteBuilder: knitr URL: https://github.com/StefanoDamato/fable.intermittent BugReports: https://github.com/StefanoDamato/fable.intermittent/issues Config/roxygen2/version: 8.1.0 Config/pak/sysreqs: cmake libicu-dev Repository: https://stefanodamato.r-universe.dev Date/Publication: 2026-09-11 10:12:29 UTC RemoteUrl: https://github.com/stefanodamato/fable.intermittent RemoteRef: HEAD RemoteSha: ee95d66947a49740dd0d0bac50ade369c6a572e3 NeedsCompilation: yes Packaged: 2026-10-11 10:30:09 UTC; root Author: Stefano Damato [aut, cre, cph] (ORCID: ), Lorenzo Zambon [aut] (ORCID: ), Dario Azzimonti [aut] (ORCID: ) Maintainer: Stefano Damato