Package: MplusLGM
Type: Package
Title: Automate Latent Growth Mixture Modelling in 'Mplus'
Version: 1.0.0.9000
Authors@R: c(
	person("Olivier", "Percie du Sert", email = "olivier.perciedusert@mail.mcgill.ca", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-6283-2529")),
	person("Joshua", "Unrau", email = "Joshua.unrau@mail.mcgill.ca", role = "aut"))
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), Latent Class
        Growth Analysis (LCGA) and Growth Mixture Model (GMM). 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>.
Depends: R (>= 4.1.0),
License: GPL (>= 3)
Imports: MplusAutomation, magrittr, tibble, dplyr, tidyr, tidyselect,
        stringr, purrr, ggplot2, glue, parallel
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
URL: https://github.com/OlivierPDS/MplusLGM
BugReports: https://github.com/OlivierPDS/MplusLGM/issues
LazyData: true
Config/pak/sysreqs: texlive libicu-dev libssl-dev
Repository: https://olivierpds.r-universe.dev
Date/Publication: 2025-07-22 17:59:04 UTC
RemoteUrl: https://github.com/olivierpds/mpluslgm
RemoteRef: HEAD
RemoteSha: 9f17b77f9cf1966a2f9c6cfcbf3313163fe8c544
NeedsCompilation: no
Packaged: 2026-10-08 09:31:48 UTC; root
Author: Olivier Percie du Sert [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0002-6283-2529>),
  Joshua Unrau [aut]
Maintainer: Olivier Percie du Sert <olivier.perciedusert@mail.mcgill.ca>