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 07 Oct. 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

plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

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