R: Forecasting Models for Tidy Time Series

# Forecasting Models for Tidy Time Series

## Documentation for package ‘fable’ version 0.3.4

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

AR | Estimate a AR model
ARIMA | Estimate an ARIMA model
breusch_godfrey | Breusch-Godfrey Test
breusch_godfrey.TSLM | Breusch-Godfrey Test
components.ETS | Extract estimated states from an ETS model.
CROSTON | Croston's method
ETS | Exponential smoothing state space model
fitted.AR | Extract fitted values from a fable model
fitted.ARIMA | Extract fitted values from a fable model
fitted.croston | Extract fitted values from a fable model
fitted.ETS | Extract fitted values from a fable model
fitted.fable_theta | Extract fitted values from a fable model
fitted.model_mean | Extract fitted values from a fable model
fitted.NNETAR | Extract fitted values from a fable model
fitted.RW | Extract fitted values from a fable model
fitted.TSLM | Extract fitted values from a fable model
fitted.VAR | Extract fitted values from a fable model
forecast.AR | Forecast a model from the fable package
forecast.ARIMA | Forecast a model from the fable package
forecast.croston | Forecast a model from the fable package
forecast.ETS | Forecast a model from the fable package
forecast.fable_theta | Forecast a model from the fable package
forecast.model_mean | Forecast a model from the fable package
forecast.NNETAR | Forecast a model from the fable package
forecast.RW | Forecast a model from the fable package
forecast.TSLM | Forecast a model from the fable package
forecast.VAR | Forecast a model from the fable package
generate.AR | Generate new data from a fable model
generate.ARIMA | Generate new data from a fable model
generate.ETS | Generate new data from a fable model
generate.model_mean | Generate new data from a fable model
generate.NNETAR | Generate new data from a fable model
generate.RW | Generate new data from a fable model
generate.TSLM | Generate new data from a fable model
glance.AR | Glance a AR
glance.ARIMA | Glance an ARIMA model
glance.ETS | Glance an ETS model
glance.fable_theta | Glance a theta method
glance.model_mean | Glance a average method model
glance.NNETAR | Glance a NNETAR model
glance.RW | Glance a lag walk model
glance.TSLM | Glance a TSLM
glance.VAR | Glance a VAR
interpolate.ARIMA | Interpolate missing values from a fable model
interpolate.model_mean | Interpolate missing values from a fable model
interpolate.TSLM | Interpolate missing values from a fable model
MEAN | Mean models
NAIVE | Random walk models
NNETAR | Neural Network Time Series Forecasts
refit.AR | Refit an AR model
refit.ARIMA | Refit an ARIMA model
refit.ETS | Refit an ETS model
refit.model_mean | Refit a MEAN model
refit.NNETAR | Refit a NNETAR model
refit.RW | Refit a lag walk model
refit.TSLM | Refit a 'TSLM'
report.AR | Estimate a AR model
report.ARIMA | Estimate an ARIMA model
report.ETS | Exponential smoothing state space model
report.model_mean | Mean models
report.NNETAR | Neural Network Time Series Forecasts
report.RW | Random walk models
report.TSLM | Fit a linear model with time series components
report.VAR | Estimate a VAR model
residuals.AR | Extract residuals from a fable model
residuals.ARIMA | Extract residuals from a fable model
residuals.croston | Extract residuals from a fable model
residuals.ETS | Extract residuals from a fable model
residuals.fable_theta | Extract residuals from a fable model
residuals.model_mean | Extract residuals from a fable model
residuals.NNETAR | Extract residuals from a fable model
residuals.RW | Extract residuals from a fable model
residuals.TSLM | Extract residuals from a fable model
residuals.VAR | Extract residuals from a fable model
RW | Random walk models
SNAIVE | Random walk models
THETA | Theta method
tidy.AR | Tidy a fable model
tidy.ARIMA | Tidy a fable model
tidy.croston | Tidy a fable model
tidy.ETS | Tidy a fable model
tidy.fable_theta | Tidy a fable model
tidy.model_mean | Tidy a fable model
tidy.NNETAR | Tidy a fable model
tidy.RW | Tidy a fable model
tidy.TSLM | Tidy a fable model
tidy.VAR | Tidy a fable model
TSLM | Fit a linear model with time series components
unitroot_options | Options for the unit root tests for order of integration
VAR | Estimate a VAR model