R: Growth Mixture Modeling (GMM)

This tutorial shows you how to perform latent trajectory modeling, specifically with the technique of latent growth mixture modeling (GMM), using R and the flexmix package. R-code GMM: https://www.regorz-statistik.de/en/r_gmm.html Tutorial with data: Wardenaar, K. (2020). Latent Class Growth Analysis and Growth Mixture Modeling using R: A tutorial for two R-packages and a comparison with Mplus. https://psyarxiv.com/m58wx/download?format=pdf Why to use ICL as a fit index: Biernacki, C., Celeux, G., & Govaert, G. (2000). Assessing a mixture model for clustering with the integrated completed likelihood. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(7), 719-725. How to report results: Van De Schoot, R., Sijbrandij, M., Winter, S. D., Depaoli, S., & Vermunt, J. K. (2017). The GRoLTS-checklist: guidelines for reporting on latent trajectory studies. Structural Equation Modeling: A Multidisciplinary Journal, 24(3), 451-467.