I have a longitudinal dataset containing info on repeated BMI measures of children.
I want to run a latent growth analysis for BMI in function of age using lcmm package in R but if I look to the data it seems that there are some influential points influencing the outcome.
Also the results of the lcmm analysis (0.5% of observations in 1 latent class which seems very odd) suggest that influential observations are influencing the results

-> Is there any way to calculate the Cooks distance of my observations in an lcmm object?

I found how to do it for lmer objects (lme4 using the influence.ME package) but did not find anything for lcmm objects.

Please let me know if you require further information.