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