OpenMx General Help

Is there anywhere to find the original scripts from the manual for OpenMx? When clicking on the links, each webpage is unavailable. Thanks for any redirection.

I am trying to get the confidence intervals for the free parameters in an ordinal ACE model. But it seems I screw it up. The range of confidence intervals is quite wide. So I have questions about confidence intervals in OpenMx.

How does OpenMx calculate the confidence intervals? I didn't get much information from 'OpenMx Manual' or 'OpenMx User Guide', but I found some in 'MxManual'. Are the principles of OpenMx and Mx same?

If it's just a silly code error, my code is below.

Any help would be appreciated!

univACEOrdModel <- mxModel("univACEOrd",
mxModel("ACE",

Hello,

First, thanks for providing such a useful software package!

Second, I am having some trouble getting my model to finish running, and since I have to manually stop the script, I don't get any helpful output that would help me debug. Please find attached my script.

After using omxGraphviz() to output a .Dot plot from my OpenMx model, I get a diagram of the model, but no parameter estimates are overlaid on the diagram. Is there a way to do this? Thanks in advance.

Hi,

It would be very helpful if the following can be done in OpenMx:

1. Evaluate (for all cases at once) an mxAlgebra that involves definition variables. I think currently one can only evaluate such an mxAlgebra for a single case.

2. Define an user specified objective function that is the sum of a casewise function of the data and parameters. I think currently the casewise function can be defined with definition variables, but is there a way to sum them?

Specifically, I fit a model as well as a saturated model. When calling summary, I pass the -2LL and DF from the saturated model, with mxCompare, I compare my model with the saturated. Here are the results, everything else is as expected. Am I missing something?
from summary():
chi-square: 5.35
p: 1

from mxCompare():
minus2LL df AIC diffLL diffdf p
1 5318 742 3834 NA NA NA
2 5323 744 3835 5.35 2 0.0691