Man pages for forecastHybrid
Convenient Functions for Ensemble Time Series Forecasts
| accuracy.cvts | Accuracy measures for cross-validated time series |
| accuracy.hybridModel | Accuracy measures for hybridModel objects |
| checkCVArguments | Validate that CV window parameters are valid |
| checkModelArgs | Helper function to test all the model arguments (e.g. a.args,... |
| checkParallelArguments | Helper function to check the that the parallel arguments are... |
| cvts | Cross validation for time series |
| extractForecasts | Extract cross validated rolling forecasts |
| fitted.hybridModel | Extract Model Fitted Values |
| forecast.hybridModel | Hybrid forecast |
| forecast.thetam | Forecast using a Theta model |
| getModel | Return a forecast model function for a given model character |
| getModelName | Translate character to model name |
| hybridModel | Hybrid time series modeling |
| is.hybridModel | Test if the object is a hybridModel object |
| plotFitted | Plot the fitted values of a hybridModel object |
| plot.hybridModel | Plot a hybridModel object |
| plotModelObjects | Plot the component models of a hybridModel object |
| plot.thetam | Plot components from Theta model |
| prepareTimeseries | Helper function to validate and clean the input time series |
| print.hybridModel | Print information about the hybridModel object |
| removeModels | Helper function to remove models that require more data |
| residuals.hybridModel | Extract Model Residuals |
| summary.hybridModel | Print a summary of the hybridModel object |
| thetam | Theta method 'model' |
| thiefModel | Forecast ensemble using THieF |
| tsCombine | Combine multiple sequential time series |
| tsPartition | Generate training and test indices for time series cross... |
| tsSubsetWithIndices | Subset time series with provided indices |
| unwrapParallelModels | Helper function used to unpack the fitted model objects from... |
