Group-based Trajectory Analysis: setting max in censored normal distribution

Hello everyone,

I am performing group-based trajectory analysis and my assumed distribution is censored normal distribution(cnorm).

Min and Max should be set with cnorm, and max number in my data is 5. But the problem is that I have missing values.

Missing(.) is normally read as infinite number (the biggest number) so I am wondering whether I should enter . or 5 as max value.

The code I am using is this:

traj, var(statage*) indep(age*) model(cnorm) min(0) max(.) order(3 3 3 3 3 3 3)


Thank you very much!

Halim.