fable: Forecasting Models for Tidy Time Series (original) (raw)

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: 0.4.1
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, MTS, nnet, rmarkdown, spelling, testthat, tsibbledata (≥ 0.2.0)
Published: 2024-11-05
DOI: 10.32614/CRAN.package.fable
Author: Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut], Earo Wang [aut], Gabriel Caceres [ctb] (NNETAR implementation), Christoph BergmeirORCID iD [ctb], Tim-Gunnar Hensel [ctb], Timothy Hyndman [ctb]
Maintainer: Mitchell O'Hara-Wild
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:

Downloads:

Reverse dependencies:

Reverse depends: fableCount, ForecastingEnsembles
Reverse imports: fpp3, iNZightTS, netseer, oddnet, vital
Reverse suggests: echos, fabletools, feasts, ggtime, grattanInflators, lessR

Linking:

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