Forecasting Models for Tidy Time Series R package fable version 0.5.0 CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries) Provides a collection of commonly used univariate and multivariate time series forecasting models including automatically selected exponential smoothing (ETS) and autoregressive integrated moving average (ARIMA) models. These models work within the 'fable' framework provided by the 'fabletools' package, which provides the tools to evaluate, visualise, and combine models in a workflow consistent with the tidyverse. Software Depends: R (>= 3.4.0), fabletools (>= 0.3.0) Imports: Rcpp (>= 0.11.0), rlang (>= 0.4.6), stats, dplyr (>= 1.0.0), tsibble (>= 0.9.0), tibble, tidyr, utils, distributional, cli LinkingTo: Rcpp (>= 0.11.0) Suggests: covr, feasts, forecast, fracdiff, knitr, MTS, nnet, rmarkdown, spelling, testthat, tsibbledata (>= 0.2.0), urca Mitchell O'Hara-Wild <mail@mitchelloharawild.com> Comprehensive R Archive Network (CRAN) Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut], Earo Wang [aut], Gabriel Caceres [ctb] (NNETAR implementation), Christoph Bergmeir [ctb] (ORCID: <https://orcid.org/0000-0002-3665-9021>), Tim-Gunnar Hensel [ctb], Timothy Hyndman [ctb] GPL-3 2026-01-23 application/tgz https://CRAN.R-project.org/package=fable doi:10.32614/CRAN.package.fable en-GB