Mixture Distribution and Latent Class Models

Posterior Class Probabilities and Entropy: Example
The first function calculates posterior class probabilities for a mixture model based on the following equation:
P(class=k|i, p_k, L_k) = p_k * L_ik / sum_k=1^m (p_k * L_ik)

GMM Convergence Problems
I'm playing with a growth mixture model and am hitting an optimizer snag. My code continually ends with an error indicating one row of my data producing a non-positive definite expected covariance matrix between 30 and 60 iterations in, leading to an NPSOL status 6. Removing the offending row simply gives another row the opportunity to take center stage and become non-positive definite.
Questions, both for me and for future users with similar problems:
-What's the next thing I should look at to solve the problem, and relatedly:
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path-oriented GMM
I am starting to learn OpenMX and wondering if there are any scripts available for fitting growth mixture models, specified in a path-oriented notation. Any help would be greatly appreciated,
Thank you,
Mariya
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New Way to Do Mixture Models in OpenMx
On my way to doing other models, I found a way to estimate independent mixture distribution models in OpenMx by using the undocumented, unsupported, but oh so useful mxRowObjective function. I've attached the R script, its plain text output, and the data. The data is from Zucchini and MacDonald's (2009) text on Hidden Markov Models, and is freely available on the book's website
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Growth Mixture Modeling Question
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Example scripts for LCA & FMM
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Longitudinal studies and categorical latent variable
Will Open Mx be able to deal with such problem.
I am in the begining of a PHD and I apm looking for a software to test such problem, being familiar with R and on mac os X I was wondering if OpenMx was an option ?
Thank you for this work.
Guillaume Avenin
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