Convenient Functions for Ensemble Time Series Forecasts

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Documentation for package ‘forecastHybrid’ version 5.0.19

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

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