https://www.statmodel.com>). Specifically, this package provides routines for creating related groups of models, running batches of models, and extracting and tabulating model parameters and fit statistics.">

MplusAutomation: An R Package for Facilitating Large-Scale Latent Variable Analyses in Mplus (original) (raw)

Leverages the R language to automate latent variable model estimation and interpretation using 'Mplus', a powerful latent variable modeling program developed by Muthen and Muthen (<https://www.statmodel.com>). Specifically, this package provides routines for creating related groups of models, running batches of models, and extracting and tabulating model parameters and fit statistics.

Version: 1.2
Depends: R (≥ 3.5.0), methods
Imports: utils, boot, plyr, gsubfn, coda, xtable, lattice, texreg, pander, digest, parallel, ggplot2, data.table, fastDummies, checkmate
Suggests: rhdf5, tcltk, relimp, knitr, testthat (≥ 3.0.0), rmarkdown
Published: 2025-09-02
DOI: 10.32614/CRAN.package.MplusAutomation
Author: Michael Hallquist [aut, cre], Joshua Wiley [aut], Caspar van Lissa [ctb], Daniel Morillo [ctb]
Maintainer: Michael Hallquist <michael.hallquist at gmail.com>
BugReports: https://github.com/michaelhallquist/MplusAutomation/issues
License: LGPL-3
URL: https://michaelhallquist.github.io/MplusAutomation/
NeedsCompilation: no
Citation: MplusAutomation citation info
Materials: README,
In views: MixedModels, Psychometrics
CRAN checks: MplusAutomation results

Documentation:

Downloads:

Reverse dependencies:

Reverse depends: holland, mplusParallel.automation, MplusTrees
Reverse imports: aMNLFA, autoFC, BifactorIndicesCalculator, mlVAR, modsem, MplusLGM, plotSEMM, tidyLPA, tidySEM
Reverse suggests: powerNLSEM, semPlot, ShortForm, stuart, thurstonianIRT

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