A collection of accuracy measures based on the accuracy of the prediction's direction (say, increasing or decreasing).
MDA(.resid, .actual, na.rm = TRUE, reward = 1, penalty = 0, ...)
MDV(.resid, .actual, na.rm = TRUE, ...)
MDPV(.resid, .actual, na.rm = TRUE, ...)
directional_accuracy_measures
An object of class list
of length 3.
A vector of residuals from either the training (model accuracy) or test (forecast accuracy) data.
A vector of responses matching the fitted values
(for forecast accuracy, new_data
must be provided).
Remove the missing values before calculating the accuracy measure
The weights given to correct and incorrect predicted directions.
Additional arguments for each measure.
MDA()
: Mean Directional Accuracy
MDV()
: Mean Directional Value
MDPV()
: Mean Directional Percentage Value
Blaskowitz and H. Herwartz (2011) "On economic evaluation of directional forecasts". International Journal of Forecasting, 27(4), 1058-1065.