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