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Hi there, as a student sociology, I'm starting to learn about SEM. The course I follow is based on LISREL, but I want to use the SEM-package on R parallel to it. Using LISREL, I found it to be very usable to be able to see the total direct and total indirect effects (standardized and unstandardized) in the output. Can I create these effects using R? I know how to calculate them

...nconsistency of the estimated coefficients. My question is that if I apply the nonlinear regression like SVM regression. Do I still need to worry about endogeneity? Meaning, what I only need to care is the 1st step of 2SLS. That would mean that I only need to carry out the SVM regression on all the exogs. Am I missing anything here? Thank you so much.Regards,- adschai [[alternative HTML version deleted]]

...1), names=c("a","b")) fit.bvar <- szbvar(K, p = 1, lambda0=0.6, lambda=0.1, lambda3=2, lambda4=0.25,lambda5=0,mu5=0, mu6=0, prior=0) y <- matrix(c(rep(0,8),c(1.10,1.10,1.10,100.1,1.10,1.10,1.0,100.10)),ncol=2) h <- hc.forecast(fit.bvar,y,nsteps=8,burnin=300, gibbs=500,exog=NULL)