Distribution accuracy measures
percentile_score(.dist, .actual, na.rm = TRUE, ...) quantile_score( .dist, .actual, probs = c(0.05, 0.25, 0.5, 0.75, 0.95), na.rm = TRUE, ... ) CRPS(.dist, .actual, n_quantiles = 1000, na.rm = TRUE, ...) distribution_accuracy_measures
The distribution of fitted values from the model, or forecasted values from the forecast.
A vector of responses matching the fitted values
(for forecast accuracy,
Remove the missing values before calculating the accuracy measure
Additional arguments for each measure.
A vector of probabilities at which the metric is evaluated.
The number of quantiles to use in approximating CRPS when an exact solution is not available.
An object of class
list of length 2.