umx

Bivariate ACE model with moderator
Hi all,
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ACE latent growth modeling
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Genetic correlations that doesn't make sense
Hi, I'm trying to estimate a multivariate ACE model. I started by checking a correlated factors solution (umxACEv), but there are some correlations that just can't be real (e.g., 2.02).
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robust standard errors and CIs using umx
Dear umx Experts,
I ran an ADE Cholesky model with 4 variables. When trying to obtain CIs for the one-headed paths (using the command umxConfint), I got weird CIs and the note "alpha level not reached" near some of the CIs. After consultation in the behavioral genetics forum, I understood that this the result of an optimization problem.
AdminRobK suggested that instead of looking at the CIs, I will try to get robust standard errors, then use mxSE() to get standard errors for the elements and form a CI from those standard errors
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How do I get a CI on a parameter derived from a model?
umxSummary reports the rA, rC, and rE for models. But this is done in the summary, and doesn't include CIs by default.
It’s computed as
solve(sqrt(I*A)) %*% A %*% solve(sqrt(I*A))
So you can add an mxAlgebra computing that into the model, then do mxSE on that
m2 = mxModel(m1,
mxAlgebra(name="ra", solve(sqrt(top.I*top.A)) %*% top.A %*% solve(sqrt(top.I*top.A)))
)
m2 = mxRun(m2)
mxSE(ra, m2)
That returns SEs, and CI= ± 1.96 * SE
best, t

Correlated factors solution for umxACE
Hi,
I'm using umxACE for a bivariate model. The current output is in the format of a cholesky model in addition to rG, rC, rE. Is there a way to get an output of the correlated factors solution? I know that I can easily calculate the estimates, but because they are not part of the model's output I didn't succeed in getting CI's for the calculated estimates (or the r's). Is there a way to get these (as these are more intuitive for presenting)?
Thanks for all the help!
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umxSexLim - heritability doesn't match correlations
Hello,

Obtain CIs on genetic correlations
I'm interested in obtaining the CIs of the genetic correlations using umx. Running umxCi prior to umxsummary does only provide the CIs for the different paths. Can anyone help me?
Thanks in advance.
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default constraints in multi group model?
I am a new OpenMX|umx user and am trying to fit a multigroup model. I have fitted two separate umxRAM models (one for each group) and then tried to repeat using the 'umxSuperModel' command. I seem to get very different model results between the multi group model and the separate group models. In the single groups models, there are fewer significant paths in one group, but the multi group appears to have identical significant paths (only varying between group in path weight magnitude)?
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Multiple Moderators
Hello,
some days ago I read the paper by Shaun Purcell (2002) "Variance Components Models for Gene-Environment Interaction in Twin Analysis" and I'm especially interested in modelling a three-way interaction (GxExE). So, for example, the genetic effect may be moderated by the socioeconomic status and by age, so that the additive genetic variance component is:
$$
(a+\beta_{Age}M_{Age}+\beta_{SES}M_{SES}+\beta_{AgexSES}M_{Age}M_{SES})^{2}
$$
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