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MplusLGM  

Automate Latent Growth Mixture Modelling in 'Mplus'
View on CRAN: Click here


Download and install MplusLGM package within the R console
Install from CRAN:
install.packages("MplusLGM")

Install from Github:
library("remotes")
install_github("cran/MplusLGM")

Install by package version:
library("remotes")
install_version("MplusLGM", "1.0.0")



Attach the package and use:
library("MplusLGM")
Maintained by
Olivier Percie du Sert
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-02-03
Latest Update: 2025-02-03
Description:
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>.
How to cite:
Olivier Percie du Sert (2025). MplusLGM: Automate Latent Growth Mixture Modelling in 'Mplus'. R package version 1.0.0, https://cran.r-project.org/web/packages/MplusLGM. Accessed 27 Oct. 2026.
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