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