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