PoisBinOrd (version 1.4.1)

overall.corr.mat: Computes the final intermediate correlation matrix

Description

This function computes the final correlation matrix by combining pairwise intermediate correlation matrix entries for Poisson-Poisson, Poisson-binary, Poisson-ordinal, binary-binary, binary-ordinal, and ordinal-ordinal combinations. If the resulting correlation matrix is not positive definite, a nearest positive matrix will be used.

Usage

overall.corr.mat(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 size (n.P+n.B+n.O)*(n.P+n.B+n.O)

See Also

intermediate.corr.PP, intermediate.corr.BO,intermediate.corr.PBO

Examples

# 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.vec=NULL
corr.mat=matrix(c(1,0.2,0.1,0.2,1,0.5,0.1,0.5,1),3,3)
finalmat=overall.corr.mat(n.P,n.B,n.O,lambda.vec,prop.vec,prop.list,corr.vec=NULL, 
corr.mat)
# }

Run the code above in your browser using DataCamp Workspace