OpenSEM Forums

Hi,
I am new to Twin data analysis and would like to get help on the bivariate genetic analysis. I want to calculate the genetic correlations between two traits in twins. However, I only found the scripts about the univariate twin analysis in documentations. How can I get the bivariate ACE model in OpenMX?

Thank you

I have a question. I looked at the package sem and lavaan.survey for the factor analysis but sem doesn't support weights and lavaan.survey doesn't have FIML. Without FIML, lavaan.survey was still able to do the job of getting the expected graphs (smooth curves) but with OpenMx, it does not work. I get straight lines.

The code is below and the data set is in the attachment. I don't know if the weights are calculated with the data in the analysis.

dsetA <- read.table("dsetA.txt",sep="")
# Possible values of the weighting variable
valm <- seq(21,40,by=1/10)

I have fit two saturated models and have created correlation matrices from the expected covariance matrices using the cov2cor function. I would like to constrain the correlation matrices to equality between these models without constraining the covariance matrices.

Hi all,

I noticed that when RMSEA = 0, the CIs come out as NA. Why is that? Is it a bug? Or are CIs theoretically undefined when RMSEA=0?

I am planning on using on using multivariate latent differential equation modeling for my MA thesis. I will have the opportunity to plan for the parameters, methods, and measurements required to do so. But currently, I am attempting to utilize one of these derivative estimation methods on some data I currently have. Specifically, I have 3 measurements of PTSD, Cortisol, and Coping Self-Efficacy.