Get the expected vcov matrix
Extract the expected covariance matrix from an mxModel()
umxExpCov(object, latents = FALSE, manifests = TRUE, digits = NULL, ...)
expected covariance matrix
https://openmx.ssri.psu.edu/thread/2598 Original written by https://openmx.ssri.psu.edu/users/bwiernik
Other Reporting functions:
RMSEA.MxModel()
,
RMSEA.summary.mxmodel()
,
RMSEA()
,
extractAIC.MxModel()
,
loadings()
,
residuals.MxModel()
,
tmx_show.MxMatrix()
,
tmx_show()
,
umxCI_boot()
,
umxCI()
,
umxConfint()
,
umxExpMeans()
,
umxFitIndices()
,
umxRotate()
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)
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