gmvi.fun {GWI} | R Documentation |
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 |
Details
gmvi.fun
computes the GVI and MVI indexes defined in Kokonendji et al. (2020).
Value
Returns:
gvi |
The generalized variation index |
mvi |
The marginal variation index |
Author(s)
Aboubacar Y. Touré and Célestin C. Kokonendji
References
Kokonendji, C.C., Touré, A.Y. and Sawadogo, A. (2020). Relative variation indexes for multivariate continuous distributions on and extensions, AStA Advances in Statistical Analysis 104, 285-307.
Examples
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)
[Package GWI version 1.0.2 Index]