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, ...) ACF1(.resid, na.action = stats::na.pass, demean = TRUE, ...) point_accuracy_measures
A vector of residuals from either the training (model accuracy) or test (forecast accuracy) data.
Remove the missing values before calculating the accuracy measure
Additional arguments for each measure.
A vector of responses matching the fitted values
(for forecast accuracy,
A vector of responses used to train the model
(for forecast accuracy, the
Should the response be demeaned (MASE)
The seasonal period of the data (defaulting to 'smallest' seasonal period). from a model, or forecasted values from the forecast.
Should the response model include a first difference?
Should the response model include a seasonal difference?
Function to handle missing values.
An object of class
list of length 7.