MplusAutomation: An R Package for Facilitating Large-Scale Latent Variable Analyses in Mplus

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, NEWS
In views:	MixedModels, Psychometrics
CRAN checks:	MplusAutomation results

Documentation:

Reference manual:	MplusAutomation.html , MplusAutomation.pdf
Vignettes:	submitting Mplus models on HPC with submitModels() (source, R code) MplusAutomation Examples (source, R code)

Downloads:

Package source:	MplusAutomation_1.2.tar.gz
Windows binaries:	r-devel: MplusAutomation_1.2.zip, r-release: MplusAutomation_1.2.zip, r-oldrel: MplusAutomation_1.2.zip
macOS binaries:	r-release (arm64): MplusAutomation_1.2.tgz, r-oldrel (arm64): MplusAutomation_1.2.tgz, r-release (x86_64): MplusAutomation_1.2.tgz, r-oldrel (x86_64): MplusAutomation_1.2.tgz
Old sources:	MplusAutomation archive

Reverse dependencies:

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

Linking:

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