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