getVCOV: Obtain the asymptotic covariance matrix
In psychonetrics: Structural Equation Modeling and Confirmatory Network Analysis
View source: R/04_generalfit_VCOV.R
getVCOV R Documentation
Obtain the asymptotic covariance matrix
Description
This function can be used to obtain the estimated asymptotic covariance matrix from a psychonetrics object.
Usage
getVCOV(model, approximate_SEs = FALSE)
Arguments
model
A psychonetrics model.
approximate_SEs
Logical, should standard errors be approximated? If true, an approximate matrix inverse of the Fischer information is used to obtain the standard errors.
Value
This function returns a matrix.
Author(s)
Sacha Epskamp
psychonetrics documentation built on June 22, 2024, 10:29 a.m.
R Package Documentation
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View source: R/04_generalfit_VCOV.R
| getVCOV | R Documentation |
Obtain the asymptotic covariance matrix
Description
This function can be used to obtain the estimated asymptotic covariance matrix from a psychonetrics object.
Usage
getVCOV(model, approximate_SEs = FALSE)
Arguments
model |
A |
approximate_SEs |
Logical, should standard errors be approximated? If true, an approximate matrix inverse of the Fischer information is used to obtain the standard errors. |
Value
This function returns a matrix.
Author(s)
Sacha Epskamp
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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