omxManifestModelByParameterJacobian: Estimate the Jacobian of manifest model with respect to...

In OpenMx: Extended Structural Equation Modelling

Estimate the Jacobian of manifest model with respect to parameters

Description

The manifest model excludes any latent variables or processes. For RAM and LISREL models, the manifest model contains only the manifest variables with free means, covariance, and thresholds.

Usage

omxManifestModelByParameterJacobian(model, defvar.row = 1, standardize = FALSE)

Arguments

model	an mxModel
defvar.row	which row to use for definition variables
standardize	logical, whether or not to standardize the parameters

Details

The Jacobian is estimated by the central finite difference.

If the standardize argument is TRUE, then the Jacobian is for the standardized model. For Normal expectations the standardized manifest model has the covariances returned as correlations, the variances returned as ones, the means returned as zeros, and the thresholds are returned as z-scores. For the thresholds the z-scores are computed by using the model-implied means and variances.

Value

a matrix with manifests in the rows and original parameters in the columns

See Also

mxGetExpected

OpenMx documentation built on Oct. 19, 2024, 9:06 a.m.