# OpenMx 2.0 Discussion

## Please read before posting: Help us help you!

- Any relevant error messages, strange output, and so forth, as the case may be.
- The version of
*OpenMx*you're running. - The version of R you're running.
- Your operating system and architecture (e.g., "x86_64 Linux").
*OpenMx*'s default optimizer (which will always be NPSOL for*OpenMx*versions 1.4 or older).

Note that you can see items #2 thru #5 above by entering `mxVersion()`

at the R prompt.

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## Issues with third beta release of OpenMx v2.0

- The Windows binaries of this third beta were compiled without enabling multiple threads (i.e., parallel processing with multiple cores).
- CSOLNP can still crash or freeze up R, or terminate calculation prematurely, when calculating confidence intervals. This behavior appears to be Windows-specific, and almost entirely confined to 64-bit R.

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## A general question about the latent change score model

Hi everyone,

I am working on a longitudinal project recently and our focus is to estimate a change. We are interested in fitting a quadratic latent change score model. Basically, we are using the code attached as the template, which is from Grimm et al., 2016, Chapter 18, Page 467-469. I was wondering if it is possible to estimate the mean and variance of each "dy" and "ly" (which are latent variables) in the model specification using some OpenMx functions directly? Thank you very much!

## Can mxSE() calculate the standard error for a formula containing definition variables?

Hope you are enjoying the winter break!

I am trying to estimate a derived parameter using mxEval() and mxSE(). The function mxEval() works well, but mxSE() reports a warning message as below and produces NA for the standard error.

"1: In mxSE(paste0("instant_rate_est", j), model = model, ... :

Some diagonal elements of the repeated-sampling covariance matrix of the point estimates are less than zero or NA.

I know, right? Set details=TRUE and check the 'Cov' element of this object. "

## mxSE standard errors for nested models (AE, etc.).

## General question about assumptions

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## Question about error codes in general

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## tryHard output

Does that mean it was a success and it just picks one of the valid solutions? It is certainly different from the output:

Solution found! Final fit=-332.97766 (started at -295.8754) (2 attempt(s): 2 valid, 0 errors).

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## Full bivariate moderation model

I am trying to investigate how school performance modifies the genetic and environmental influences on intelligence running a full bivariate moderation model (a la the extended GxE model in Purcell 2002). However, my OpenMx results differ a lot from what my collaborator has obtained using the old Mx software, so I really hope that one of you can help me figure out what I have done wrong in the attached script.

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## Lower bound confidence interval NaN from time to time

I was wondering about some lower bound NaN values I've come across (or also when, for example the AE model has C set to 0, but the variance component has a lower bound CI NaN value even though all of them should have a value of 0 (lower bound, estimate, upper bound)). Specifically, I have had NaN values for the A standardized variance component lower bound of the confidence interval from time to time. Does anyone know why this may be? Is there a work-around on how to adjust it? It's for relatively few estimates, but it does come up.

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