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