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