metaSEM

is it possible to allow moderators to vary at study level with meta3?
Dear all,
I'm performing a three-level meta-analysis, and I have three dummy variables (X1, X2 and X3) that refer to moderator effects. I wonder whether I can allow these moderator variables to vary across studies, and what would be the code in case this option was possible?
My code looks like this now:
h<-summary(meta3(y=d, v=s2e_g, x=cbind(X1, X2, X3), intercept.constraints=0, cluster=study, data=mydf))

Mediation Effect with inclusion of LatentVariable.
Dear Mike and colleagues,
I am trying to test the association between social effectiveness and consumer's impulsive buying tendency(IBT), which is also hypothesised as being mediated by hedonic shopping values. The social effectiveness is latent variable that is manifested by the bif five personalities. The data set and the R script are attaced. The label names for these variables are A,C,ES,E,O,IBT,SE(hedonic shopping values),g(the latent variable).

Partial Correlations in TSSEM
Dear users of metaSEM,
I was wondering if someone could help me out with calculating partial correlations in stage 1 of TSSEM in the metaSEM package.
Here is the description:
Let’s say we have 3 variables (A, B, C) in our path model. A is the IV, B is the mediator, and C is the DV. When I run TSSEM stage 1, it will result in pooling a matrix of pairwise correlations. So far so good, no problem here.
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Problem with the new OSMASEM-Function
Dear Mike & colleagues,
I'm currently sitting at a moderator analysis with the new OSMASEM approach (continuous moderators in MASEM - yeah!).
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Is it possible to impose constrains in TSSEM2?
Dear all,
I'm performing a meta-analysis (data, code, an picture of the desired model attached) using TSSEM.
At the second stage, I would like to test whether the effect a1 is equal to b1, whether a2=b2, and whether a3=b3. Is there any way of constraining these parameters in stage 2? If so, what is the code to do that?
Thank you very much in advance for your help!!
Kind Regards,
Belen

Small I square in TSSEM1
Dear Mike,
Thanks a lot for the kind help all the time.
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error message on TSSEM1-not positive definition
Dear Mike,
My name is Jing Niu and I am working on a metaSEM research.When I apply the tssem1 function on my dataset, I got the error message saying:
> stage1fixed <- tssem1(Cov=my.vec, n=samplesize, method="FEM")
Error: The observed covariance matrix is not a positive-definite matrix:
1 or more elements of eigen(covMatrix)$values <= 0
In addition: Warning message:
In tssem1FEM(Cov = Cov, n = n, cor.analysis = cor.analysis, model.name = model.name,

Error message on TSSEM1
Dear Mike,
My name is B.I.Chung. I am writing a paper by MASEM analysis by using TSSEM procedure guided in your paper "Meta-analytic structural equation modeling". I sincerely appreciate all your explanation on the procedure of TSSEM in detail.
I prepared a correlation data for TSSEM from my previous meta-analysis and at the stage1 of Random-effects model, I am in trouble with below error message:
- Read more about Error message on TSSEM1
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Goodness of Fit indices & intervals.type="z" vs. "LB"
Hi Mike;
I have three questions regarding TSSEM for testing a fully mediated structural model. I will appreciate your advice.

Error in running fixed effect TSSEM1 with clusters
Dear Mike and others,
I would like to conduct a fixed effect MASEM with clusters and I am stuck when I try to run TSSEM1. At first I tried to use a cluster variable that I labeled, and then I tried to use the cluster variable without labels (just "0" and "1" codes). I got different error messages each time.
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