compute.sigma.star: Computes the tetrachoric correlation matrix. If it is...
In MultiOrd: Generation of Multivariate Ordinal Variates
Description
Usage
Arguments
Value
See Also
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
1
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
MultiOrd documentation built on March 6, 2021, 1:08 a.m.
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Description Usage Arguments Value See Also
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
1 | 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
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.
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