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fable  

Forecasting Models for Tidy Time Series
View on CRAN: Click here


Download and install fable package within the R console
Install from CRAN:
install.packages("fable")

Install from Github:
library("remotes")
install_github("cran/fable")

Install by package version:
library("remotes")
install_version("fable", "0.4.1")



Attach the package and use:
library("fable")
Maintained by
Mitchell O'Hara-Wild
[Scholar Profile | Author Map]
First Published: 2019-09-23
Latest Update: 2023-03-22
Description:
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.
How to cite:
Mitchell O'Hara-Wild (2019). fable: Forecasting Models for Tidy Time Series. R package version 0.4.1, https://cran.r-project.org/web/packages/fable. Accessed 01 May. 2025.
Previous versions and publish date:
0.1.0 (2019-09-23 17:10), 0.1.1 (2019-12-06 12:00), 0.1.2 (2020-01-29 12:00), 0.2.0 (2020-04-22 15:12), 0.2.1 (2020-06-16 18:30), 0.3.0 (2021-02-03 06:40), 0.3.1 (2021-05-16 16:20), 0.3.2 (2022-09-01 21:40), 0.3.3 (2023-03-22 17:00), 0.3.4 (2024-03-15 14:30), 0.4.0 (2024-09-25 02:10)
Other packages that cited fable R package
View fable citation profile
Other R packages that fable depends, imports, suggests or enhances
Complete documentation for fable
Functions, R codes and Examples using the fable R package
Some associated functions: AR . ARIMA . CROSTON . ETS . MEAN . NNETAR . RW . THETA . TSLM . VAR . breusch_godfrey . common_xregs . components.ETS . fable-package . fitted.AR . fitted.ARIMA . fitted.ETS . fitted.NNETAR . fitted.RW . fitted.TSLM . fitted.VAR . fitted.croston . fitted.fable_theta . fitted.model_mean . forecast.AR . forecast.ARIMA . forecast.ETS . forecast.NNETAR . forecast.RW . forecast.TSLM . forecast.VAR . forecast.croston . forecast.fable_theta . forecast.model_mean . generate.AR . generate.ARIMA . generate.ETS . generate.NNETAR . generate.RW . generate.TSLM . generate.model_mean . glance.AR . glance.ARIMA . glance.ETS . glance.NNETAR . glance.RW . glance.TSLM . glance.VAR . glance.fable_theta . glance.model_mean . interpolate.ARIMA . interpolate.TSLM . interpolate.model_mean . reexports . refit.AR . refit.ARIMA . refit.ETS . refit.NNETAR . refit.RW . refit.TSLM . refit.model_mean . residuals.AR . residuals.ARIMA . residuals.ETS . residuals.NNETAR . residuals.RW . residuals.TSLM . residuals.VAR . residuals.croston . residuals.fable_theta . residuals.model_mean . tidy.AR . tidy.ARIMA . tidy.ETS . tidy.NNETAR . tidy.RW . tidy.TSLM . tidy.VAR . tidy.croston . tidy.fable_theta . tidy.model_mean . unitroot_options . 
Some associated R codes: 00_specials.R . ar.R . arima.R . checks.R . compat-purrr.R . croston.R . ets.R . etsmodel.R . fable-package.R . lagwalk.R . lm.R . mean.R . nnetar.R . reexports.R . theta.R . utils.R . var.R .  Full fable package functions and examples
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