# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "MplusLGM" in publications use:' type: software license: GPL-3.0-or-later title: 'MplusLGM: Automate Latent Growth Mixture Modelling in ''Mplus''' version: 1.0.0 doi: 10.32614/CRAN.package.MplusLGM abstract: '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. 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. .' authors: - family-names: Sert given-names: Olivier name-particle: Percie du email: olivier.perciedusert@mail.mcgill.ca orcid: https://orcid.org/0000-0002-6283-2529 - family-names: Unrau given-names: Joshua email: Joshua.unrau@mail.mcgill.ca repository: https://olivierpds.r-universe.dev repository-code: https://github.com/OlivierPDS/MplusLGM commit: b3bc8072d8c27eeeec9f93a5b60dba622a33c27f url: https://github.com/OlivierPDS/MplusLGM contact: - family-names: Sert given-names: Olivier name-particle: Percie du email: olivier.perciedusert@mail.mcgill.ca orcid: https://orcid.org/0000-0002-6283-2529