Obtain CIs on genetic correlations

You will need an mxAlgebra to calculate the genetic correlations. Possibly, if your model is set up as a cholesky, you could have an equation like

genCorAlg <- mxAlgebra(cov2cor(A%*%t(A)), name="geneticCorrelation")

where matrix A contains the paths in a lower triangular pattern. You would also add the mxCI() function call to ask for confidence intervals like this

genCorCI <- mxCI(geneticCorrelation)

then add the objects genCorCI and genCorAlg to the model and re-run.