compute.sigma.star: Computes the tetrachoric correlation matrix. If it is...
In MultiOrd: Generation of Multivariate Ordinal Variates
compute.sigma.star R Documentation
Computes the tetrachoric correlation matrix. If it is non-positive definite, a nearest positive definite matrix is used.
Description
It computes the tetrachoric correlation matrix using the algorithm described in Emrich and Piedmonte
(1991). If the resulting matrix is non-positive definite, a nearest positive definite matrix is
returned and the warning message will be printed.
Usage
compute.sigma.star(prop.vec.bin, corr.mat)
Arguments
prop.vec.bin
Vector of marginal probabilities
corr.mat
Correlation matrix of the binary data
Value
Tetrachoric correlation matrix
See Also
phi2tetra and nearPD
MultiOrd documentation built on April 15, 2025, 1:27 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| compute.sigma.star | R Documentation |
Computes the tetrachoric correlation matrix. If it is non-positive definite, a nearest positive definite matrix is used.
Description
It computes the tetrachoric correlation matrix using the algorithm described in Emrich and Piedmonte (1991). If the resulting matrix is non-positive definite, a nearest positive definite matrix is returned and the warning message will be printed.
Usage
compute.sigma.star(prop.vec.bin, corr.mat)
Arguments
prop.vec.bin |
Vector of marginal probabilities |
corr.mat |
Correlation matrix of the binary data |
Value
Tetrachoric correlation matrix
See Also
phi2tetra and nearPD
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.