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 |
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:
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