intermediate.corr.PP: Computes an intermediate normal correlation matrix for...
In PoisBinOrd: Data Generation with Poisson, Binary and Ordinal Components

Description Usage Arguments Value References See Also Examples

This function computes the intermediate normal correlation matrix for Poisson-Poisson combinations before inverse cdf matching as formulated in Amatya and Demirtas (2015).

1	intermediate.corr.PP(n.P, lambda.vec, corr.vec = NULL, corr.mat = NULL)

`n.P`	Number of Poisson variables.
`lambda.vec`	Rate vector for Poisson variables.
`corr.vec`	Vector of elements below the diagonal of correlation matrix ordered column-wise.
`corr.mat`	Specified correlation matrix.

A correlation matrix of size n.P*n.P

Amatya, A. and Demirtas, H. (2015). Simultaneous generation of multivariate mixed data with Poisson and normal marginals. Journal of Statistical Computation and Simulation, 85(15), 3129-3139.

intermediate.corr.PBO

n.P<-3
lambda.vec<-c(1,2,3)
corr.mat<-matrix(c(1,0.352,0.265,0.352,1,0.121,0.265,0.121,1),n.P,n.P)
intmatPP=intermediate.corr.PP(n.P,lambda.vec,corr.vec=NULL,corr.mat)

## Not run: 
#See also cmat.star in  R package PoisNor 
#cmat.star(no.pois=3,no.norm=0,corMat=corr.mat,lamvec=lambda.vec)

## End(Not run)