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