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