umx (version 4.20.0)

umxExpCov: Get the expected vcov matrix

Description

Extract the expected covariance matrix from an mxModel()

Usage

umxExpCov(object, latents = FALSE, manifests = TRUE, digits = NULL, ...)

Value

• expected covariance matrix

Arguments

object

an mxModel() to get the covariance matrix from

latents

Whether to select the latent variables (defaults to TRUE)

manifests

Whether to select the manifest variables (defaults to TRUE)

digits

precision of reporting. NULL (Default) = no rounding.

...

extra parameters (to match vcov())

References

• https://openmx.ssri.psu.edu/thread/2598 Original written by https://openmx.ssri.psu.edu/users/bwiernik

See Also

• umxRun(), umxCI_boot()

Other Reporting functions: RMSEA.MxModel(), RMSEA.summary.mxmodel(), RMSEA(), extractAIC.MxModel(), loadings.MxModel(), loadings(), residuals.MxModel(), tmx_show.MxMatrix(), tmx_show(), umxCI_boot(), umxCI(), umxConfint(), umxExpMeans(), umxFitIndices(), umxRotate()

Examples

if (FALSE) {
require(umx)
data(demoOneFactor)
manifests = names(demoOneFactor)
m1 = umxRAM("One Factor", data = demoOneFactor, type = "cov",
	umxPath("G", to = manifests),
	umxPath(var = manifests),
	umxPath(var = "G", fixedAt = 1)
)#'
vcov(m1) # supplied by OpenMx
umxExpCov(m1, digits = 3)

}