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).">

plotSEMM: Graphing Nonlinear Relations Among Latent Variables from Structural Equation Mixture Models (original) (raw)

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:

Downloads:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=plotSEMMto link to this page.