Get response variable from time series model.
Half-hourly electricity demand
BATS model (Exponential smoothing state space model with Box-Cox transformation, ARMA errors, Trend and Seasonal components)
Box Cox Transformation
Naive forecasts
Forecasting using Structural Time Series models
Cross-validation statistic
Extract components of a TBATS model
Seasonal plot
Forecasting using ARIMA or ARFIMA models
ARIMA errors
Automatic selection of Box Cox transformation parameter
Theta method forecast
One-step in-sample forecasts using ARIMA models
Forecasting using Holt-Winters objects
Cubic Spline Forecast
Fit a fractionally differenced ARFIMA model
Fit a linear model with time series components
Number of days in each season
Forecasting using stl objects
Australian monthly gas production
Moving-average smoothing
Quarterly production of woollen yarn in Australia
Diebold-Mariano test for predictive accuracy
(Partial) Autocorrelation Function Estimation
Forecasts for intermittent demand using Croston's method
Forecasting using ETS models
Accuracy measures for forecast model
Mean Forecast
TBATS model (Exponential smoothing state space model with Box-Cox transformation, ARMA errors, Trend and Seasonal components)
Plot components from ETS model
Forecast a linear model with possible time series components
Time series display
Forecast plot
Forecasting using BATS and TBATS models
Plot components from BATS model
Forecast seasonal index
Number of differences required for a stationary series
Daily morning gold prices
Australian total wine sales
Log-Likelihood of an ets object
Interpolate missing values in a time series
Fit best ARIMA model to univariate time series
Fit ARIMA model to univariate time series
Multi-Seasonal Time Series
Random Walk Forecast
Seasonal adjustment
Exponential smoothing state space model
Double-Seasonal Holt-Winters Forecasting
Neural Network Time Series Forecasts
Forecasting time series
Seasonal dummy variables
Simulation from a time series model
Exponential smoothing forecasts
Subsetting a time series