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 (<>). 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: 0.8
Depends: R (≥ 3.5.0), methods
Imports: utils, boot, plyr, gsubfn, coda, xtable, lattice, texreg, pander, digest, parallel, ggplot2, data.table, rlang
Suggests: rhdf5, tcltk, relimp, testthat
Published: 2020-10-14
Author: Michael Hallquist [aut, cre], Joshua Wiley [aut], Caspar van Lissa [ctb], Daniel Morillo [ctb]
Maintainer: Michael Hallquist <michael.hallquist at>
License: LGPL-3
NeedsCompilation: no
Citation: MplusAutomation citation info
Materials: README NEWS
In views: Psychometrics
CRAN checks: MplusAutomation results


Reference manual: MplusAutomation.pdf
Vignettes: MplusAutomation Examples
Package source: MplusAutomation_0.8.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: MplusAutomation_0.8.tgz, r-oldrel: MplusAutomation_0.8.tgz
Old sources: MplusAutomation archive

Reverse dependencies:

Reverse depends: MplusTrees
Reverse imports: dmacs, mlVAR, PathSelectMP, plotSEMM, thurstonianIRT, tidyLPA, tidySEM
Reverse suggests: semPlot, ShortForm, stuart


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