ae_median_sample {scoringutils} | R Documentation |
Absolute error of the median (sample-based version)
Description
Absolute error of the median calculated as
|\text{observed} - \text{median prediction}|
where the median prediction is calculated as the median of the predictive samples.
Usage
ae_median_sample(observed, predicted)
Arguments
observed |
A vector with observed values of size n |
predicted |
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, |
Value
Numeric vector of length n with the absolute errors of the median.
Input format
Overview of required input format for sample-based forecasts
See Also
Examples
observed <- rnorm(30, mean = 1:30)
predicted_values <- matrix(rnorm(30, mean = 1:30))
ae_median_sample(observed, predicted_values)
[Package scoringutils version 2.1.0 Index]