Can someone kindly explain to me the output of the asyCov function please? [closed]

So basically, I'm currently modelling a 1-1-1 multilevel mediation from bauer et al., (2006). That is, it is a stacked mediation model, meaning that the mediation and outcome equation are stacked into each other.

Here the equation:

In the first parenthesis lies the mediator equation and in the second one, the outcome equation. The S_Mij and SY_ij variables are specification variables. That is when Z is equal to the mediator then S_Mij is equal to 1, and the equation becomes . The same thing happens when S_Yij = 1. I'm modelling this equation in R using nlme:

"Stacked_Model_F <- lme(Z ~ 0 + Sm + Smx + Sy + Sym + Syx, data = data_stacked2 , random = ~0 + Sm + Smx + Sy + Sym + Syx | id, weights = varIdent(form = ~1 | variable))"

I'm interested in obtaining the sampling variance of the covariance of the random effects Smx and Sym. For that, however, I think I need the asymptotic covariance matrix of the random effects of the model. That is, I think I might need the function "asyCov", but I'm not sure how to interpret the output. Please let me know if I'm unclear. Thanks

https://stackoverflow.com/questions/65374071/can-someone-kindly-explain-to-me-the-output-of-the-asycov-function-please December 20, 2020 at 04:20AM