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.


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install.packages("fable")

0.1.0 by Mitchell O'Hara-Wild, a month ago


https://fable.tidyverts.org


Report a bug at https://github.com/tidyverts/fable/issues


Browse source code at https://github.com/cran/fable


Authors: Mitchell O'Hara-Wild [aut, cre] , Rob Hyndman [aut] , Earo Wang [aut] , Gabriel Caceres [ctb] (NNETAR implementation)


Documentation:   PDF Manual  


Task views: Time Series Analysis


GPL-3 license


Imports Rcpp, rlang, stats, dplyr, tsibble, tidyr

Depends on fabletools

Suggests covr, feasts, forecast, knitr, nnet, rmarkdown, spelling, testthat, tsibbledata

Linking to Rcpp


Imported by fpp3.

Suggested by fabletools, feasts.


See at CRAN