Dear all, I have been reading some documentations including Latent variable Modeling using R and I am confronted with some challenges. Could you please direction/guidance me with the following problem?
If I am given continuous time series ‘quarterly data’ with three indicators (Y1, Y2 and Y3) and 5 causal variables (X1, X2, . . ., X5) and assuming one latent variable (F1). The observed variables are stationary at first difference I(1). How do i specify the model in lavaan() given that this is a time series quarterly data with continuous variables only. I would like to see a draft model specification in lavaan. Looking forward to hearing from you soon and I will give feedback. Kind regards, Peter [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.