OpenSEM Forums

Plans for Mixture model package - help in the process
Hi all
As part of a bigger project we are working with applications of mixture models. And we have found that no R package provides all the functionality we need. The only programs so far with all the functionality is LatentGold, but this is a propietary and have working with the license has been complicated

LCS: Effect of a time-independent predictor on a covariance
I'm trying to model the effect of a time-independent predictor on the parameters of a dual latent change score model (in discrete time). My predictor is the cohort to which the subjects belong. The groups (cohorts) of individuals in my data have different values for the parameters (e.g., different self-feedbacks, mean and variance of the slope...). I managed to successfully account for cohort effects on means, variances, and regression parameters, just using mxPaths.

How to use the EM algorithm with a nonlinear latent growth curve model?
I am trying to fit a nonlinear latent growth curve model (as part of simulations I am conducting) using the three-parameter logistic (s-shaped change) function below
$$y_{obs} = \frac{diff}{1+e^{\frac{\beta - time_i}{\gamma}}}, $$

Full bivariate moderation model
Hi all,
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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Correlations from ADE and AE, huge differences
Hi all,
I am writing this post since I am fitting an ADE bivariate model, but I get really different correlations from the ADE and the AE model.
Here you can see the correlations for both models:


Non-family GXE with G-->E
I am attempting to conduct a genomic SEM with a GxE term and a term for the effect of G on E. The model would also include 11 other covariates. The study was a case-control design.
I used the R package gwsem to conduct a GxE analysis without the effect of G on E. However, I can not use it for the current analysis since the package does not permit a term to be a covariate and a dependent variable.
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"newbie" forum
Hello all,
Newcomer to OpenMx here, just getting started and working through the 'Simplified Manual for Beginners'. I'm wondering if it makes sense to have a newbie forum thread, where we can ask basic questions, discuss the exercises in the manual / examples in the documentation, and link to materials that explain specific basic concepts to each other as we learn.
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Negative ACE estimates in Univariate Model
As the title says, I'm getting negative ACE estimates where the A and C component cancel each other out. For example, one ACE model result is 0.41, -0.41, 0.99 for the ACE components, respectively. Another model is 0.70, -0.48, 0.78. I want to know if these negative estimates are invalid.
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Model-averaged point estimates
Hi,
I am trying to calculate the heritability for some fat-related traits. I have fitted the ACE model and some submodels (CE and AE) and then learned that it was recommended to use mxModelAverage()
to gain the model-averaged point estimates.
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