se_mean_sample {scoringutils} | R Documentation |
Squared Error of the Mean (Sample-based Version)
Description
Squared error of the mean calculated as
\textrm{mean}(\textrm{true\_value} - \textrm{prediction})^2
Usage
se_mean_sample(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
See Also
Examples
true_values <- rnorm(30, mean = 1:30)
predicted_values <- rnorm(30, mean = 1:30)
se_mean_sample(true_values, predicted_values)
[Package scoringutils version 1.2.2 Index]