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plotSEMM: Graphing Nonlinear Relations Among Latent Variables from Structural Equation Mixture Models

Contains a graphical user interface to generate the diagnostic plots proposed by Bauer (2005; <doi:10.1207/s15328007sem1204_1>), Pek & Chalmers (2015; <doi:10.1080/10705511.2014.937790>), and Pek, Chalmers, R. Kok, & Losardo (2015; <doi:10.3102/1076998615589129>) to investigate nonlinear bivariate relationships in latent regression models using structural equation mixture models (SEMMs).

Version: 2.4
Depends: plyr, shiny
Imports: graphics, methods, stats, MplusAutomation, Rcpp, plotrix
LinkingTo: Rcpp
Published: 2017-07-04
DOI: 10.32614/CRAN.package.plotSEMM
Author: Bethany Kok [aut], Jolynn Pek [aut], Sonya Sterba [ctb], Dan Bauer [ctb], Phil Chalmers [cre, aut]
Maintainer: Phil Chalmers <rphilip.chalmers at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/philchalmers/plotSEMM
NeedsCompilation: yes
Materials: README
In views: Psychometrics
CRAN checks: plotSEMM results

Documentation:

Reference manual: plotSEMM.pdf

Downloads:

Package source: plotSEMM_2.4.tar.gz
Windows binaries: r-devel: plotSEMM_2.4.zip, r-release: plotSEMM_2.4.zip, r-oldrel: plotSEMM_2.4.zip
macOS binaries: r-release (arm64): plotSEMM_2.4.tgz, r-oldrel (arm64): plotSEMM_2.4.tgz, r-release (x86_64): plotSEMM_2.4.tgz, r-oldrel (x86_64): plotSEMM_2.4.tgz
Old sources: plotSEMM archive

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.