Re: [R] Multivariate Multilevel Model: is R the right software for this problem

Wrong list. Post to R-sig-mixed-models -- Bert On Thu, Apr 12, 2012 at 12:34 PM, Eiko Fried wrote: > Very interesting book! > However, it doesn't cover multivariate models (I have 9 moderately > correlated, categorical dependent variables). > > Again, I'm trying to find out whether 5 time-varyin

Re: [R] Multivariate Multilevel Model: is R the right software for this problem

Very interesting book! However, it doesn't cover multivariate models (I have 9 moderately correlated, categorical dependent variables). Again, I'm trying to find out whether 5 time-varying variables (dichotomous; five different life events "yes"/"no"; subjects can have several life events at the s

Re: [R] Multivariate Multilevel Model: is R the right software for this problem

I recommend looking at chapter 6 of Paul Allison's *Fixed Effects Regression Models*. This chapter outlines how you can use a structural equation modeling framework to estimate a multi-level model (a random effects model). This approach is slower than just using MLM software like lmer() in the lm

Re: [R] Multivariate Multilevel Model: is R the right software for this problem

I recommend looking at chapter 6 of Paul Allison's Fixed Effects Regression Models. This chapter outlines how you can use a structural equation modeling framework to estimate a multi-level model (a random effects model). This approach is slower than just using MLM software like lmer() in the l