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| Unequal btw-person var/cov across cla... |
 
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| Qiwen Zheng posted on Thursday, June 16, 2016 - 8:58 pm
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Hi all,
I'm fitting a two-part random intercept mixture model, in which a binary (u) and a continuous (m) dependent variables are used. I'm having trouble to specify different residual var/cov structure of random intercepts of these two variables across classes.
The binary part uses a logistic model, while the MIXTURE is modeled ONLY ON the continuous part.
When I specify the residual variance/covariance of the random intercepts in each class in the BETWEEN part of the model, I got the FATAL ERROR: CLASS-SPECIFIC BETWEEN VARIABLE PROBLEM. The code runs successfully if I do not specify u, m and u with m in each class, in which case I then obtain equal var/cov estimates in both classes.
The data is longitudinal with each person with 8 repeated measures.
Below is the model for the continuous part:
m_ij=a_0i+a_1*X1_ij+e_ij
a_0i=a_0+b_01*X2_i+b_0i
where i is person and j is time. u is a binary dependent variable and m is a continuous dependent
variable. X1 is a time-varying covariate and X2 is a time-invariant covariate.
Model for binary dependent variable has the same two covariates with logistic link function and random intercept.
(Continued in the next post) |
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| Qiwen Zheng posted on Thursday, June 16, 2016 - 8:59 pm
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My Mplus code:
VARIABLE:
Names are ID u m X1 X2;
Missing are all (-999) ;
usevariables are u m X1 X2;
cluster = ID;
within = X1;
between=X2;
CLASSES = c(2);
categorical=u;
ANALYSIS: type = twolevel random mixture;
MODEL:
%WITHIN%
%Overall%
u on X1;
m on X1;
m*;
%c#1%
u on X1(1);
m on X1;
m*;
%c#2%
u on X1(1);
m on X1;
m*;
%BETWEEN%
%Overall%
u on X2;
m on X2;
u with m;
u;m;
[u$1];[m];
%c#1%
u on X2(2);
m on X2;
u(3); m; u with m;
[u$1*](4);
%c#2%
u on X2(2);
m on X2;
u(3); m; u with m;
[u$1*](4);
Thanks in advance! |
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