Re: [R] multivariate multilevel model

s, José Prof. José Iparraguirre Chief Economist Age UK Age UK Tavis House, 1- 6 Tavistock Square London, WC1H 9NB -Original Message- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Patty Haaem Sent: 06 June 2013 06:36 To: r-help@r-project.org Subject: [

[R] multivariate multilevel model

Hi I want to fit a multivariate multilevel model for a longitudinal data set. can you introduce me a package or some function to fit this model? Thanks in advance. [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https:/

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

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

Hello, I've been trying to answer a problem I have had for some months now and came across multivariate multilevel modeling. I know MPLUS and SPSS quite well but these programs could not solve this specific difficulty. My problem: 9 correlated dependent variables (medical symptoms; categorical, 0