scores_hyper: Calculating scores for the hypergeometric distribution

In scoringRules: Scoring Rules for Parametric and Simulated Distribution Forecasts

Calculating scores for the hypergeometric distribution

Description

Calculating scores for the hypergeometric distribution

Usage

crps_hyper(y, m, n, k)

logs_hyper(y, m, n, k)

Arguments

y	vector of observations / numbers of white balls drawn without replacement from an urn which contains both black and white balls.
m	the number of white balls in the urn.
n	the number of black balls in the urn.
k	the number of balls drawn from the urn, hence must be in 0,1,\dots, m+n.

Value

A vector of score values.

scoringRules documentation built on May 31, 2023, 6:06 p.m.