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:

Reference manual:

MplusLGM.pdf

Downloads:

Package source:	MplusLGM_1.0.0.tar.gz
Windows binaries:	r-devel: MplusLGM_1.0.0.zip, r-release: MplusLGM_1.0.0.zip, r-oldrel: MplusLGM_1.0.0.zip
macOS binaries:	r-devel (arm64): MplusLGM_1.0.0.tgz, r-release (arm64): MplusLGM_1.0.0.tgz, r-oldrel (arm64): MplusLGM_1.0.0.tgz, r-devel (x86_64): MplusLGM_1.0.0.tgz, r-release (x86_64): MplusLGM_1.0.0.tgz, r-oldrel (x86_64): MplusLGM_1.0.0.tgz

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