Hello I am using diffcyt and CATALYST to analyze flow data. Everything is working very well so far. My dataset is made of samples from individuals who differ by gender but I have several time points for each individual. is there a function to run a DA analyze not only by gender but also accounting for the longitudinal design . The underlying question would be something like : does the clustering evolve differently over time (i.e. aging ) between women and men? For now, I tried lmer model outside of diffcyt (post hoc). if not available, do you have any advices?

Thank you in advance,