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, 0-3), 5
measurement points, 10 time-varying covariates (life events; dichotomous,
0-1), N ~ 900. Up to 35% missing values on some variables, especially at
later measurement points.

My exploratory question is whether there is an interaction effect between
life events and symptoms - and if so, what the effect is exactly. E.g. life
event 1 could lead to more symptoms A B D whereas life event 2 could lead
to more symptoms A C D and less symptoms E.

My question is: would MMM in R be a viable option for this? If so, could
you recommend literature?

Thank you
--T

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