intermediate.corr.P_BO: Computes the pairwise entries of the intermediate normal...

Description Usage Arguments Value References See Also Examples

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)


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