OpenMx Structural Equation Modeling

I am running a CFA and would like to use the "effects coding" method of identification described by Little, Slegers, and Card (2006). In the effects coding method, the loadings of a factor are constrained so that the average of the loadings equals 1 and the average of the intercepts equals 0. How can I do this with OpenMx? I imagine it involves mxConstraint or mxAlgebra, but am not sure where to begin. Here's a small example of a model that I'd like to modify to use effects coding:

oneFactorModel <- mxModel("CFA",
type="RAM",

Dear all,

Dear all,

I am working on a simplex script in openMx. There are quantitative and qualitative sex differences for my phenotype, so I estimate separate paths for males and females and I would also like to freely estimate the dos correlations between the latent As. However, I am struggling with the transmission paths.
Probably, someone else has already dealt with this. I would like to know whether there are any simplex scripts available that take into account sex differences?

Regards
Charlotte

Dear all,

Would you confirm if OpenMx supports multilevel SEM on complex sampling survey data, with categorical outcome? (each datapoint has different weight)

Thank you!

Hi folks. I mentioned this to Joshua who asked me to post it here for further input. While wondering about some strange output in one of my functions the other day I discovered that the matrices output by openmx only reflect the last calculated row of data. I believe this only becomes evident when definition variables are used, such that the A S or M matrices (when using RAM format, though I don't believe it's limited to this case) depend on the definition variable.