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.


Reference manual

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0.2.1 by Mitchell O'Hara-Wild, 7 months ago,

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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, tibble, tidyr, utils, distributional

Depends on fabletools

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

Linking to Rcpp

Imported by fpp3.

Suggested by ProbReco, fabletools, feasts.

See at CRAN