MplusLGM: Automate Latent Growth Mixture Modelling in 'Mplus'
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>.
| Version: |
1.0.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
MplusAutomation, magrittr, tibble, dplyr, tidyr, tidyselect, stringr, purrr, ggplot2, glue, parallel |
| Published: |
2025-02-03 |
| DOI: |
10.32614/CRAN.package.MplusLGM |
| Author: |
Olivier Percie du Sert
 [aut, cre,
cph],
Joshua Unrau [aut] |
| Maintainer: |
Olivier Percie du Sert <olivier.perciedusert at mail.mcgill.ca> |
| BugReports: |
https://github.com/OlivierPDS/MplusLGM/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/OlivierPDS/MplusLGM |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
MplusLGM results |
Documentation:
Downloads:
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