Hi!

I would like to adjust for age in longitudinal setting of two time points. In the model I would like to adjust for age from the two time points in the model. I am not sure about the number of rows and columns to be specified in the matrix for age in OpenMX. To begin with I set up the mean and beta coefficient for age as follows:

# Matrix for expected Mean

mean
values= 1.6, label=c("meany11","meany12","meany11","meany12" ), name="expMeanGy" )

# Matrix for beta

beta
values=.1, labels=c('b1','b2','b1','b2'), name="beta" )

I also specified the age as shown in below but I am not quite sure if this is the right way to go.

# Matrix for age - Mz twins

MZvaro
values=.1, labels=c('data.agez11','data.age21, data.age12','data.age22,'), name="DefMZvaro")

Many thanks in advance!

Ahmed

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