Published on *OpenMx* (http://openmx.psyc.virginia.edu)

By *lands101*

Created *02/14/2011 - 06:28*

Mon, 02/14/2011 - 06:28 — lands101 [1]

Currently, I am studying three mixed variables in which I expect dissimilar classes for each of the three variables. It is not unlike example 8.2 in the Mplus manual (only with continuous variables). I can do this in Mplus, but I am wondering if it is also possible in OpenMx. So I need to define separate classes for each variable, but the definition of the model is a puzzle to me. Is it possible (yet)? If so, how do I define the matrix of class probabilities and how do I bind the six classes and their objectives together?

**Links:**

[1] http://openmx.psyc.virginia.edu/users/lands101

[2] http://openmx.psyc.virginia.edu/thread/827

[3] http://openmx.psyc.virginia.edu/thread/633

[4] http://openmx.psyc.virginia.edu/forums/opensem-forums/mixture-distribution-and-latent-class-models