fable: Forecasting Models for Tidy Time Series

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.

Version: 0.3.4
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
LinkingTo: Rcpp (≥ 0.11.0)
Suggests: covr, feasts, forecast, knitr, nnet, rmarkdown, spelling, testthat, tsibbledata (≥ 0.2.0)
Published: 2024-03-15
Author: Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut], Earo Wang [aut], Gabriel Caceres [ctb] (NNETAR implementation), Christoph Bergmeir ORCID iD [ctb], Tim-Gunnar Hensel [ctb], Timothy Hyndman [ctb]
Maintainer: Mitchell O'Hara-Wild <mail at mitchelloharawild.com>
BugReports: https://github.com/tidyverts/fable/issues
License: GPL-3
URL: https://fable.tidyverts.org, https://github.com/tidyverts/fable
NeedsCompilation: yes
Language: en-GB
Materials: README NEWS
In views: TimeSeries
CRAN checks: fable results

Documentation:

Reference manual: fable.pdf
Vignettes: Introduction to fable
Forecasting with transformations

Downloads:

Package source: fable_0.3.4.tar.gz
Windows binaries: r-devel: fable_0.3.4.zip, r-release: fable_0.3.4.zip, r-oldrel: fable_0.3.4.zip
macOS binaries: r-release (arm64): fable_0.3.4.tgz, r-oldrel (arm64): fable_0.3.4.tgz, r-release (x86_64): fable_0.3.4.tgz
Old sources: fable archive

Reverse dependencies:

Reverse imports: fpp3, iNZightTS, netseer, oddnet
Reverse suggests: fabletools, feasts, grattanInflators

Linking:

Please use the canonical form https://CRAN.R-project.org/package=fable to link to this page.