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
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.
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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 same
Wrong list. Post to R-sig-mixed-models
-- Bert
On Thu, Apr 12, 2012 at 12:34 PM, Eiko Fried tor...@gmail.com 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
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,
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
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
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