umxExpCov: Get the expected vcov matrix

In tbates/umx: Structural Equation Modeling and Twin Modeling in R

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

• expected covariance matrix

See Also

• umxRun(), umxCI_boot()

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)

tbates/umx documentation built on Dec. 14, 2024, 11:28 a.m.