umxExpCov {umx}R Documentation

Get the expected vcov matrix

Description

Extract the expected covariance matrix from an OpenMx::mxModel()

Usage

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

Arguments

object

an OpenMx::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())

Value

See Also

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

Examples

## Not run: 
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)


## End(Not run)

[Package umx version 4.21.0 Index]