GWI (version 1.0.2)

gmvi.fun: Function for GVI and MVI

Description

The function computes GVI and MVI indexes for multivariate positive continuous data.

Usage

gmvi.fun(Y)

Arguments

Y

A matrix of positive continuous random variables

Value

Returns:

gvi

The generalized variation index

mvi

The marginal variation index

Details

gmvi.fun computes the GVI and MVI indexes defined in Kokonendji et al. (2020).

References

Kokonendji, C.C., Tour<U+00E9>, A.Y. and Sawadogo, A. (2020). Relative variation indexes for multivariate continuous distributions on \([0,\infty)^k\) and extensions, AStA Advances in Statistical Analysis 104, 285-307.

Examples

# NOT RUN {
Y<-cbind(c(2.3 ,26.1 ,8.7 ,10.9 ,1.2,1.4),c(9.7 ,7.3,9.3 ,9.4 ,10.5 ,9.8))
gmvi.fun(Y)
Z<-cbind(c(2.3 ,26.1 ,8.7),c(9.7 ,7.3,9.3),c(9.7 ,7.3,9.3),c(9.7 ,7.3,9.3))
gmvi.fun(Z)
# }