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 (<http://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: 0.7-2
Depends: R (≥ 2.15.0), methods
Imports: utils, boot, plyr, gsubfn, coda, xtable, lattice, texreg, pander, digest, parallel, ggplot2
Suggests: rhdf5, tcltk, relimp, testthat
Published: 2018-04-06
Author: Michael Hallquist [aut, cre], Joshua Wiley [aut], Caspar van Lissa [ctb]
Maintainer: Michael Hallquist <michael.hallquist at gmail.com>
License: LGPL-3
URL: https://github.com/michaelhallquist/MplusAutomation
NeedsCompilation: no
Citation: MplusAutomation citation info
Materials: README NEWS
In views: Psychometrics
CRAN checks: MplusAutomation results

Downloads:

Reference manual: MplusAutomation.pdf
Vignettes: MplusAutomation Examples
Package source: MplusAutomation_0.7-2.tar.gz
Windows binaries: r-devel: MplusAutomation_0.7-2.zip, r-release: MplusAutomation_0.7-2.zip, r-oldrel: MplusAutomation_0.7-2.zip
OS X binaries: r-release: MplusAutomation_0.7-2.tgz, r-oldrel: MplusAutomation_0.7-2.tgz
Old sources: MplusAutomation archive

Reverse dependencies:

Reverse imports: aMNLFA, mlVAR, PathSelectMP, plotSEMM
Reverse suggests: semPlot, ShortForm, stuart, tidyLPA

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