Computes the pairwise entries of the intermediate normal correlation matrix for all Poisson-binary and Poisson-ordinal variable combinations given the specified correlation matrix.

Description

This function computes the pairwise entries of the intermediate normal correlation matrix for all Poisson-binary and Poisson-ordinal variable combinations given the specified correlation matrix as formulated in Amatya and Demirtas (2015).

Usage

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intermediate.corr.P_BO(n.P, n.B, n.O, lambda.vec = NULL, prop.vec = NULL, 
prop.list = NULL, corr.vec = NULL, corr.mat = NULL)

Arguments

n.P

Number of Poisson variables.

n.B

Number of binary variables.

n.O

Number of ordinal variables.

lambda.vec

Rate vector for Poisson variables

prop.vec

Probability vector for binary variables.

prop.list

A list of probability vectors for ordinal variables.

corr.vec

Vector of elements below the diagonal of correlation matrix ordered column-wise.

corr.mat

Specified correlation matrix.

Value

A matrix of n.P*(n.B+n.O)

References

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.

See Also

intermediate.corr.PP, intermediate.corr.BO

Examples

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## Not run: 
n.P<-1
n.B<-1
n.O<-1
lambda.vec<-c(1)
prop.vec<-c(0.3)
prop.list<-list(c(0.3,0.6))
corr.mat=matrix(c(1,0.2,0.1,0.2,1,0.5,0.1,0.5,1),3,3)

intmatP_BO=intermediate.corr.P_BO(n.P,n.B,n.O,lambda.vec,prop.vec,prop.list, 
corr.vec=NULL,corr.mat)

## End(Not run)