validation.corr {BinNor} | R Documentation |
Validates the specified correlation matrix
Description
This function validates the correlation vector and/or matrix for appropriate dimension, symmetry, range, and positive definiteness. If both correlation matrix and correlation vector were supplied, it checks whether the matrix and vector are conformable.
Usage
validation.corr(no.bin, no.nor, prop.vec.bin = NULL,
corr.vec = NULL, corr.mat = NULL)
Arguments
no.bin |
Number of binary variables |
no.nor |
Number of normal variables |
prop.vec.bin |
Probability vector for binary variables |
corr.vec |
Vector of elements below the diagonal of correlation matrix ordered columnwise |
corr.mat |
Specified correlation matrix |
See Also
validation.bin
, validation.range
Examples
d=4
corr.vec=c(0.21,0.61,0.78,0.10,0.12,0.65)
corr.mat=lower.tri.to.corr.mat(corr.vec,d)
validation.corr (no.bin=2, no.nor=2,prop.vec.bin=c(0.4,0.7),
corr.vec,corr.mat=corr.mat)
[Package BinNor version 2.3.3 Index]