I am trying to perform a latent class growth analysis (LCGA) and/or growth mixture models (GMMs) in R. The data I am using is an increasing number of forks of git repositories (discrete variable, not categorical), as you can see in this dataset.
lavaan, which helped me fit a latent growth curve model, but not to identify latent classes. I also tried
poLCA, which only works for categorical polytomous variables, hence did not suffice either.
What is the most appropriate R package for performing a latent class growth analysis on discrete variable data?
The analysis I want to do is similar to that in Qureshi & Fang (2010):
Qureshi, I., and Fang, Y. 2010. “Socialization in Open Source Software Projects: A Growth Mixture Modeling Approach,” Organizational Research Methods (14:1), pp. 208–238.