scoringutils (version 0.1.4)

ae_median: Absolute Error of the Median

Description

Absolute error of the median calculated as

$$ abs(true_value - median_prediction) $$

Usage

ae_median(true_values, predictions)

Arguments

true_values

A vector with the true observed values of size n

predictions

nxN matrix of predictive samples, n (number of rows) being the number of data points and N (number of columns) the number of Monte Carlo samples. Alternatively, predictions can just be a vector of size n

Value

vector with the scoring values

Examples

# NOT RUN {
true_values <- rnorm(30, mean = 1:30)
predicted_values <- rnorm(30, mean = 1:30)
ae_median(true_values, predicted_values)
# }