dfSigma

[numeric vector] the linear combination of parameters to test

contrast

[numeric matrix] the variance-covariance matrix of the parameters.

vcov

[numeric array] the first derivative of the variance-covariance matrix of the parameters.

dVcov

[character vector] the name of the parameters with non-zero first derivative of their variance parameter.

keep.param

Computation of the degrees of freedom of the chi-squared distribution
relative to the model-based variance

Tools for model specification in the latent variable framework
(add-on to the 'lava' package). The package contains three main functionalities:
Wald tests/F-tests with improved control of the type 1 error in small samples,
adjustment for multiple comparisons when searching for local dependencies,
and adjustment for multiple comparisons when doing inference for multiple latent variable models.

dfSigma: Degree of Freedom for the Chi-Square Test

Description

Usage

Arguments