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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | MplusLGM_1.0.0.tar.gz |
89.0 KiB |
1.0.0 |
rolling linux/noble R-4.5 | MplusLGM_1.0.0.tar.gz |
88.8 KiB |
1.0.0 |
rolling source/ R- | MplusLGM_1.0.0.tar.gz |
29.2 KiB |
1.0.0 |
latest linux/jammy R-4.5 | MplusLGM_1.0.0.tar.gz |
89.0 KiB |
1.0.0 |
latest linux/noble R-4.5 | MplusLGM_1.0.0.tar.gz |
88.8 KiB |
1.0.0 |
latest source/ R- | MplusLGM_1.0.0.tar.gz |
29.2 KiB |
1.0.0 |
2026-04-26 source/ R- | MplusLGM_1.0.0.tar.gz |
29.2 KiB |
1.0.0 |
2026-04-23 source/ R- | MplusLGM_1.0.0.tar.gz |
29.2 KiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | MplusLGM_1.0.0.zip |
91.8 KiB |
1.0.0 |
2025-04-20 source/ R- | MplusLGM_1.0.0.tar.gz |
29.2 KiB |