gini: Normalized Gini heterogeneity index

In CUB: A Class of Mixture Models for Ordinal Data

Description

Compute the normalized Gini heterogeneity index for a given discrete probability distribution.

Usage

gini(prob)

Arguments

prob	Vector of probability distribution or relative frequencies

See Also

laakso

Examples

prob<-c(0.04,0.04,0.05,0.10,0.21,0.32,0.24)
gini(prob)

Example output

Loading required package: Formula
[1] 0.9102333

CUB documentation built on March 31, 2020, 5:14 p.m.