modelMatrices {semPlot} | R Documentation |
Extract SEM model matrices
Description
Create a "semMatriModel"
object. Use semMatrixAlgebra
to extract or compute with these models. The structure of "semMatriModel"
objects is chosen such that they can be used to create a semPlotModel-class
object using do.call
in combination with ramModel
, lisrelModel
or mplusModel
(not yet implemented). See details.
Usage
modelMatrices(object, model = "ram", endoOnly = FALSE)
Arguments
object |
A |
model |
Model to be used, |
endoOnly |
Only needed when the model is |
Details
The "lisrel"
model uses the following matrix names: LY
, TE
, PS
, BE
, LX
, TD
, PH
, GA
, TY
, TX
, AL
and KA
. Regressions on manifest variables will cause dummy latents to be included in the model.
The "mplus"
model uses the following matrix names: Lambda
, Nu
, Theta
, Kappa
, Alpha
, Beta
, Gamma
and Psi
.
The "ram"
model uses the following matrix names: F
, A
and S
.
Value
a "semMatriModel"
object
Author(s)
Sacha Epskamp <mail@sachaepskamp.com>
See Also
semPlotModel
semPlotModel-class
semMatrixAlgebra
lisrelModel
ramModel
Examples
## Mplus user guide SEM example:
outfile <- tempfile(fileext=".out")
tryres <- try({
download.file("http://www.statmodel.com/usersguide/chap5/ex5.11.html",outfile)
})
if (!is(tryres,"try-error")){
# Plot model:
semPaths(outfile, intercepts = FALSE)
# Extract RAM:
RAM <- modelMatrices(outfile, "ram")
semPaths(do.call(ramModel, RAM), as.expression = "edges", intercepts = FALSE)
# Extract LISREL:
LISREL <- modelMatrices(outfile, "lisrel")
semPaths(do.call(lisrelModel, LISREL), as.expression = "edges", intercepts = FALSE)
}