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