question1:
when I simulated the model, I found the -2LL value of some nested models (which had less estimate parameters than full model) were smaller than that of full model, without any "warning" in script. I think it is abnormal, and I have no idea why it happened, and could you give me some information or suggestion to solve this problem.
Thank you!
question 2:
In Mx, there are some order to help me to find the best start value, like "option THard=-n" or "option jiggle", so, is there any order in OpenMx with the same function. Could you give any clue?
Thank you again!
I suspect that these may actually be one question. Unexpected -2LL may occur if the optimizer is stuck in a local minimum. Trying again with several starting value is one way to see if this is the problem.
One way to use R to generate your starting values might look like this:
You can use R variables in specifying values= arguments in mxMatrix and mxPath.