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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: 1.1.1
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: 2024-01-30
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.pdf
Vignettes: MplusAutomation Examples

Downloads:

Package source: MplusAutomation_1.1.1.tar.gz
Windows binaries: r-devel: MplusAutomation_1.1.1.zip, r-release: MplusAutomation_1.1.1.zip, r-oldrel: MplusAutomation_1.1.1.zip
macOS binaries: r-release (arm64): MplusAutomation_1.1.1.tgz, r-oldrel (arm64): MplusAutomation_1.1.1.tgz, r-release (x86_64): MplusAutomation_1.1.1.tgz, r-oldrel (x86_64): MplusAutomation_1.1.1.tgz
Old sources: MplusAutomation archive

Reverse dependencies:

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

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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