Convenient Functions for Ensemble Time Series Forecasts

accuracy.cvts | Accuracy measures for cross-validated time series |

accuracy.hybridModel | Accuracy measures for hybridModel objects |

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 modelling |

is.hybridModel | Test if the object is a hybridModel object |

plot.hybridModel | Plot a hybridModel object |

plot.thetam | Plot components from Theta model |

prepareTimeseries | Helper function to validate and clean the input timeseries |

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' |

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... |

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