se_mean_sample: Squared Error of the Mean (Sample-based Version)

In scoringutils: Utilities for Scoring and Assessing Predictions

Squared Error of the Mean (Sample-based Version)

Description

Squared error of the mean calculated as

mean(true_value - mean_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

squared_error()

Examples

true_values <- rnorm(30, mean = 1:30)
predicted_values <- rnorm(30, mean = 1:30)
se_mean_sample(true_values, predicted_values)

scoringutils documentation built on Feb. 16, 2023, 7:30 p.m.