Point estimate accuracy measures

ME(.resid, na.rm = TRUE, ...) MSE(.resid, na.rm = TRUE, ...) RMSE(.resid, na.rm = TRUE, ...) MAE(.resid, na.rm = TRUE, ...) MPE(.resid, .actual, na.rm = TRUE, ...) MAPE(.resid, .actual, na.rm = TRUE, ...) MASE( .resid, .train, demean = FALSE, na.rm = TRUE, .period, d = .period == 1, D = .period > 1, ... ) RMSSE( .resid, .train, demean = FALSE, na.rm = TRUE, .period, d = .period == 1, D = .period > 1, ... ) ACF1(.resid, na.action = stats::na.pass, demean = TRUE, ...) point_accuracy_measures

.resid | A vector of residuals from either the training (model accuracy) or test (forecast accuracy) data. |
---|---|

na.rm | Remove the missing values before calculating the accuracy measure |

... | Additional arguments for each measure. |

.actual | A vector of responses matching the fitted values
(for forecast accuracy, |

.train | A vector of responses used to train the model
(for forecast accuracy, the |

demean | Should the response be demeaned (MASE) |

.period | The seasonal period of the data (defaulting to 'smallest' seasonal period). from a model, or forecasted values from the forecast. |

d | Should the response model include a first difference? |

D | Should the response model include a seasonal difference? |

na.action | Function to handle missing values. |

An object of class `list`

of length 8.