Errors from a regression model with ARIMA errors
Return the order of an ARIMA or ARFIMA model
Accuracy measures for a forecast model
Fit a fractionally differenced ARFIMA model
(Partial) Autocorrelation and Cross-Correlation Function Estimation
Fit ARIMA model to univariate time series
Cross-validation statistic
k-fold Cross-Validation applied to an autoregressive model
Box Cox Transformation
Automatic selection of Box Cox transformation parameter
Automatically create a ggplot for time series objects
Forecasting using the bagged ETS method
h-step in-sample forecasts for time series models.
Forecasting Functions for Time Series and Linear Models
Forecasting using the bagged ETS method
Forecasting using BATS and TBATS models
Is an object constant?
Is an object a particular model type?
Fit best ARIMA model to univariate time series
Create a ggplot layer appropriate to a particular data type
Exponential smoothing state space model
Find dominant frequency of a time series
Naive and Random Walk Forecasts
Number of differences required for a stationary series
Seasonal dummy variables
Seasonal plot
Box-Cox and Loess-based decomposition bootstrap.
Check that residuals from a time series model look like white noise
Forecasting using ARIMA or ARFIMA models
ggplot (Partial) Autocorrelation and Cross-Correlation Function Estimation
and Plotting
Plot time series decomposition components using ggplot
Double-Seasonal Holt-Winters Forecasting
Easter holidays in each season
Forecast a multiple linear model with possible time series components
BATS model (Exponential smoothing state space model with Box-Cox
transformation, ARMA errors, Trend and Seasonal components)
Number of trading days in each season
Forecasts for intermittent demand using Croston's method
Diebold-Mariano test for predictive accuracy
Forecasting using Holt-Winters objects
Forecasting using neural network models
Forecasting using stl objects
Fourier terms for modelling seasonality
Forecasting time series
Forecasting using Structural Time Series models
Create a seasonal subseries ggplot
Forecasting time series
Forecast plot
Get response variable from time series model.
Neural Network Time Series Forecasts
Forecasting using ETS models
Forecast a linear model with possible time series components
Histogram with optional normal and kernel density functions
Plot characteristic roots from ARIMA model
Seasonal adjustment
Extract components from a time series decomposition
TBATS model (Exponential smoothing state space model with Box-Cox
transformation, ARMA errors, Trend and Seasonal components)
Australian monthly gas production
Is an object a particular forecast type?
Moving-average smoothing
Forecast plot
Time series lag ggplots
Mean Forecast
Number of days in each season
Plot components from BATS model
Exponential smoothing forecasts
Simulation from a time series model
Identify and replace outliers and missing values in a time series
Daily morning gold prices
Multi-Seasonal Time Series
Interpolate missing values in a time series
Objects exported from other packages
Multivariate forecast plot
Theta method forecast
Time series cross-validation
Residuals for various time series models
Subsetting a time series
Half-hourly electricity demand
Time series display
Extract components of a TBATS model
Australian total wine sales
Quarterly production of woollen yarn in Australia
Plot components from ETS model
Forecast seasonal index
Cubic Spline Forecast
Fit a linear model with time series components
Identify and replace outliers in a time series