scoringutils (version 2.1.0)

dss_sample: Dawid-Sebastiani score

Description

Wrapper around the dss_sample() function from the scoringRules package.

Usage

dss_sample(observed, predicted, ...)

Value

Vector with scores.

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, predicted can just be a vector of size n.

...

Additional arguments passed to dss_sample() from the scoringRules package.

Input format

Overview of required input format for sample-based forecasts

References

Alexander Jordan, Fabian Krüger, Sebastian Lerch, Evaluating Probabilistic Forecasts with scoringRules, https://www.jstatsoft.org/article/view/v090i12

Examples

observed <- rpois(30, lambda = 1:30)
predicted <- replicate(200, rpois(n = 30, lambda = 1:30))
dss_sample(observed, predicted)