R: Numerically estimate the Jacobian with respect to free...

mxComputeJacobian {OpenMx} | R Documentation

## Numerically estimate the Jacobian with respect to free parameters

### Description

When expectations are given, the Jacobian is taken with respect to the manifest model. 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. Ordinal manifest variables are standardized.

### Usage

    mxComputeJacobian(freeSet=NA_character_, ..., of = "expectation", defvar.row=1L)

### Arguments

`freeSet` | names of matrices containing free variables
`...` | Not used. Forces remaining arguments to be specified by name.
`of` | a character vector of expectations or algebra names
`defvar.row` | A row index. Which row to load for definition variables.

### See Also

omxManifestModelByParameterJacobian, mxGetExpected

[Package OpenMx version 2.11.4 Index]