Other packages > Find by keyword >

MplusLGM  

Automate Latent Growth Mixture Modelling in 'Mplus'
View on CRAN: Click here


Download and install MplusLGM package within the R console
Install from CRAN:
install.packages("MplusLGM")

Install from Github:
library("remotes")
install_github("cran/MplusLGM")

Install by package version:
library("remotes")
install_version("MplusLGM", "1.0.0")



Attach the package and use:
library("MplusLGM")
Maintained by
Olivier Percie du Sert
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-02-03
Latest Update: 2025-02-03
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) 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>.
How to cite:
Olivier Percie du Sert (2025). MplusLGM: Automate Latent Growth Mixture Modelling in 'Mplus'. R package version 1.0.0, https://cran.r-project.org/web/packages/MplusLGM. Accessed 06 Aug. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited MplusLGM R package
View MplusLGM citation profile
Other R packages that MplusLGM depends, imports, suggests or enhances
Complete documentation for MplusLGM
Functions, R codes and Examples using the MplusLGM R package
Full MplusLGM package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

SAMBA  
Selection and Misclassification Bias Adjustment for Logistic Regression Models
Health research using data from electronic health records (EHR) has gained popularity, but miscla ...
Download / Learn more Package Citations See dependency  
lsmeans  
Least-Squares Means
Obtain least-squares means for linear, generalized linear, and mixed models. Compute contrasts or l ...
Download / Learn more Package Citations See dependency  
RRedshiftSQL  
R Interface to the 'Redshift' Database
Superclasses 'PostgreSQL' connection to help enable full 'dplyr' functionality on 'Redshift'. ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
TMDb  
Access to TMDb API
Provides an R-interface to the TMDb API (see TMDb API on < ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA