validation.corr: Validates the specified correlation matrix

In PoisBinNonNor: Data Generation with Poisson, Binary and Continuous Components

Description

This function validates the specified correlation vector and/or matrix for appropriate dimension, symmetry, range, and positive definiteness. If both correlation matrix and correlation vector are supplied, it checks whether the matrix and vector are conformable.

Usage

validation.corr(n.P, n.B, n.C, corr.vec = NULL, corr.mat = NULL)

Arguments

n.P	Number of Poisson variables.
n.B	Number of binary variables.
n.C	Number of continuous variables.
corr.vec	Vector of elements below the diagonal of correlation matrix ordered column-wise.
corr.mat	Specified correlation matrix.

Value

The function returns TRUE if no specification problem is encountered. Otherwise, it returns an error message.

See Also

correlation.limits, correlation.bound.check

Examples

n.P<-1
n.B<-1
n.C<-1
corr.vec=c(0.2,0.1,0.5)
validation.corr(n.P,n.B,n.C,corr.vec,corr.mat=NULL)

n.P<-2
n.B<-2
n.C<-2
corr.mat=matrix(0.5,6,6)
diag(corr.mat)=1
validation.corr(n.P,n.B,n.C,corr.vec=NULL,corr.mat)

## Not run: 
n.P<-2
n.B<-2
n.C<-1
corr.mat=matrix(0.5,6,6)
diag(corr.mat)=1
validation.corr(n.P,n.B,n.C,corr.vec=NULL,corr.mat)

n.P<-2
n.B<-2
n.C<-2
corr.mat=matrix(0.5,6,6)
corr.mat[1,2]=0.4
diag(corr.mat)=1
validation.corr(n.P,n.B,n.C,corr.vec=NULL,corr.mat)

## End(Not run)

PoisBinNonNor documentation built on March 22, 2021, 9:07 a.m.