Hi R-colleagues. I have been using the sem(sem) function. It uses maximum likelyhood as optimizing. method. According to simulation study in Umeå Sweden (http://www.stat.umu.se/kursweb/vt07/stad04mom3/?download=UlfHolmberg.pdf Sorry it is in swedish, except the abstract) maximum likelihood is OK for large samples and normal distribution the SEM-problem should be optimized by GLS (Generalized Least Squares).
So to the question: Is there any R-function that solves SEM with GLS? Ralf Finne Novia University of Applied Science Vasa Finland ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
