gmdi.fun {GWI} | R Documentation |
Function for GDI and MDI
Description
The function computes the GDI and MDI indexes for multivariate count data.
Usage
gmdi.fun(Y)
Arguments
Y |
A matrix of count random variables |
Details
gmdi.fun
computes GDI and MDI indexes introduced by Kokonendji and Puig (2018).
Value
Returns:
gdi |
The generalized dispersion index |
mdi |
The marginal dispersion index |
Author(s)
Aboubacar Y. Touré and Célestin C. Kokonendji
References
Kokonendji, C.C. and Puig, P. (2018). Fisher dispersion index for multivariate count distributions : A review and a new proposal, Journal of Multivariate Analysis 165, 180-193.
Examples
Y<-cbind(c(1,2,3,4,5,6,7,8),c(1,2,3,4,5,6,7,8))
gmdi.fun(Y)
Z<-cbind(c(1,2,3,4,5,6,7,8),c(1,2,3,4,5,6,7,8),c(1,2,3,4,5,6,7,8),c(1,2,3,4,5,6,7,8))
gmdi.fun(Z)
[Package GWI version 1.0.2 Index]