R: Convenient Functions for Ensemble Time Series Forecasts

# Convenient Functions for Ensemble Time Series Forecasts

## Documentation for package ‘forecastHybrid’ version 5.1.21

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

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, e.args, etc)
checkParallelArguments | Helper function to check the that the parallel arguments are valid
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
plot.hybridModel | Plot a hybridModel object
plot.thetam | Plot components from Theta model
plotFitted | Plot the fitted values of a hybridModel object
plotModelObjects | Plot the component models of a hybridModel object
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 validation
tsSubsetWithIndices | Subset time series with provided indices
unwrapParallelModels | Helper function used to unpack the fitted model objects from a list