Automate Latent Growth Mixture Modelling in 'Mplus' R package MplusLGM version 1.0.0 Provide a suite of functions for conducting and automating Latent Growth Modeling (LGM) in 'Mplus', including Growth Curve Model (GCM), Growth-Based Trajectory Model (GBTM) and Latent Class Growth Analysis (LCGA). The package builds upon the capabilities of the 'MplusAutomation' package (Hallquist & Wiley, 2018) to streamline large-scale latent variable analyses. “MplusAutomation: An R Package for Facilitating Large-Scale Latent Variable Analyses in Mplus.” Structural Equation Modeling, 25(4), 621–638. <doi:10.1080/10705511.2017.1402334> The workflow implemented in this package follows the recommendations outlined in Van Der Nest et al. (2020). “An Overview of Mixture Modeling for Latent Evolutions in Longitudinal Data: Modeling Approaches, Fit Statistics, and Software.” Advances in Life Course Research, 43, Article 100323. <doi:10.1016/j.alcr.2019.100323>. Software Depends: R (>= 4.1.0), Imports: MplusAutomation, magrittr, tibble, dplyr, tidyr, tidyselect, stringr, purrr, ggplot2, glue, parallel Olivier Percie du Sert <olivier.perciedusert@mail.mcgill.ca> Comprehensive R Archive Network (CRAN) Olivier Percie du Sert [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-6283-2529>), Joshua Unrau [aut] GPL (>= 3) 2025-02-03 application/tgz https://CRAN.R-project.org/package=MplusLGM doi:10.32614/CRAN.package.MplusLGM