Third Party Software

The Missing Coefficients in metaSEM
Hi Mike,
I am running the metaSEM for a mediation model. The results seem good. But when I tried to extrcat the cofficients, there is a problem. In this model, there are three indepent variables and there should be three correlation coefficients between those three variables as well. But in the summary and coef results, there is only one correlation coefficients, cor = 0.43. I want to report all coefficients in my meta-analysis. So could you please check my code and tell me how to read those three correlation coefficients?
Here is my code.
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OpenMX Status: 5
Hello all,
I am getting status 5 for some analyses and am not sure why. I am including the code and output below. There are 4 clusters and 9 effects. Any idea what is causing it?
Thanks!
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Error in Mixed-effects Multivariate Meta-analysis
Dear Sir,

About the mixed-effects model in multivariate meta-analysis by using metaSEM
Hi Mike,
I am trying to conduct a multivariate meta-analysis by using metaSEM. I reviewed your article Cheung, M. W. L. (2014). metaSEM: An R package for meta-analysis using structural equation modeling. Frontiers in Psychology, 5. In the supplementary material, you provided some examples. In terms of the second example in section 3, you used the data set reported by Aloe et al. (2014).

MetaSEM with raw data sets with missing values
Dear all,
I am trying to conduct a metaSEM on four data sets which contain missing values. I have the codes I've used to calculate the estimates and their confidence intervals with the full data sets (missing values imputed using ML), and which worked perfectly.
However, when I am repeating the same analysis with the raw data sets with no imputations, I get error messages at the fixed2 stage, and for calculating the confidence intervals, I get NA for the Upper and Lower bounds.
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TSSEM near 0 heterogeneity variances and Hessian matrix error
Dear Mike and other users,
I am doing random effects TSSEM and had run into problems with openmx status=6 with tssem1(). In earlier communication with Mike, he noted that some of the heterogeneity variances (I2) were near 0 (e.g., .0000, .0001) and said that tssem1() does not handle them well. Thus he suggested fixing the near 0 heterogeneity variances to 0, and letting the larger heterogeneity variance vary with starting value 0.01, then running tssem1() with this user-defined structure:

NA in Indirect Effects for 95% likelihood based CI’s metaSEM
Dear Mike and Others,
I am trying to estimate a random effects tssem for my dissertation.I have read your book and related papers. I am following the wonderful resources provided by you and your team. My goal is to perform some moderator analyses using categorical variables, after I successfully run the tssem model.
I am attaching my R script and the structural model image. In this data and model, I found 2 issues, and have 2 clarifications.

Is it possible to estimate an AE model using the ACE model functions?
Simple question: How do I estimate an AE model using the `umxACE` function?

How does umx handle categorical data?
How does your umx handle categorical data? Does it handle ordinal and unordered categories in the same way and what estimator is it using?
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Code 6 Error in the second stage
Hi all, Hi Mike,
I really appreciate Mike's guidance in TSSEM.
I recently encountered the code 6 error (http://openmx.ssri.psu.edu/wiki/errors) in the last step of my TSSEM analysis.
I think it might be because there are too many missing values in the data: after I deleted rows with two NAs, it worked.
I am just wondering if there are any alternative solutions for code 6 error in TSSEM? I noticed that mxTryHard can be used to get a better result but I am not so sure about it....
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