umxExpCov: Get the expected vcov matrix

In umx: Structural Equation Modeling and Twin Modeling in R

Get the expected vcov matrix

Description

Extract the expected covariance matrix from an mxModel()

Usage

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

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())

Value

• expected covariance matrix

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

## 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)

umx documentation built on May 29, 2024, 5:40 a.m.