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