validation.corr {PoisBinOrd} | R Documentation |
Validates the specified correlation matrix
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.O, 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. |
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.O<-1
corr.vec=c(0.2,0.1,0.5)
validation.corr(n.P,n.B,n.O,corr.vec,corr.mat=NULL)
n.P<-2
n.B<-2
n.O<-2
corr.mat=matrix(0.5,6,6)
diag(corr.mat)=1
validation.corr(n.P,n.B,n.O,corr.vec=NULL,corr.mat)
[Package PoisBinOrd version 1.4.3 Index]