modsem: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)

Estimation of interaction (i.e., moderation) effects between latent variables in structural equation models (SEM). The supported methods are: The constrained approach (Algina & Moulder, 2001). The unconstrained approach (Marsh et al., 2004). The residual centering approach (Little et al., 2006). The double centering approach (Lin et al., 2010). The latent moderated structural equations (LMS) approach (Klein & Moosbrugger, 2000). The quasi-maximum likelihood (QML) approach (Klein & Muthén, 2007) (temporarily unavailable) The constrained- unconstrained, residual- and double centering- approaches are estimated via 'lavaan' (Rosseel, 2012), whilst the LMS- and QML- approaches are estimated via by modsem it self. Alternatively model can be estimated via 'Mplus' (Muthén & Muthén, 1998-2017). References: Algina, J., & Moulder, B. C. (2001). <doi:10.1207/S15328007SEM0801_3>. "A note on estimating the Jöreskog-Yang model for latent variable interaction using 'LISREL' 8.3." Klein, A., & Moosbrugger, H. (2000). <doi:10.1007/BF02296338>. "Maximum likelihood estimation of latent interaction effects with the LMS method." Klein, A. G., & Muthén, B. O. (2007). <doi:10.1080/00273170701710205>. "Quasi-maximum likelihood estimation of structural equation models with multiple interaction and quadratic effects." Lin, G. C., Wen, Z., Marsh, H. W., & Lin, H. S. (2010). <doi:10.1080/10705511.2010.488999>. "Structural equation models of latent interactions: Clarification of orthogonalizing and double-mean-centering strategies." Little, T. D., Bovaird, J. A., & Widaman, K. F. (2006). <doi:10.1207/s15328007sem1304_1>. "On the merits of orthogonalizing powered and product terms: Implications for modeling interactions among latent variables." Marsh, H. W., Wen, Z., & Hau, K. T. (2004). <doi:10.1037/1082-989X.9.3.275>. "Structural equation models of latent interactions: evaluation of alternative estimation strategies and indicator construction." Muthén, L.K. and Muthén, B.O. (1998-2017). "'Mplus' User’s Guide. Eighth Edition." <https://www.statmodel.com/>. Rosseel Y (2012). <doi:10.18637/jss.v048.i02>. "'lavaan': An R Package for Structural Equation Modeling."

Version:	1.0.3
Depends:	R (≥ 3.50)
Imports:	Rcpp, purrr, stringr, lavaan, rlang, MplusAutomation, nlme, dplyr, mvnfast, stats, fastGHQuad, mvtnorm, ggplot2, parallel
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	knitr, rmarkdown
Published:	2024-09-23
DOI:	10.32614/CRAN.package.modsem
Author:	Kjell Solem Slupphaug [aut, cre]
Maintainer:	Kjell Solem Slupphaug <slupphaugkjell at gmail.com>
License:	MIT + file LICENSE
URL:	https://github.com/Kss2k/modsem
NeedsCompilation:	yes
Materials:	README
CRAN checks:	modsem results

Documentation:

Reference manual:	modsem.pdf
Vignettes:	customizing interaction terms (source, R code) interaction effects between endogenous variables (source, R code) using lavaan functions (source, R code) LMS and QML approaches (source, R code) methods (source, R code) modsem (source, R code) observed variables in the LMS- and QML approach (source, R code) plotting interaction effects (source, R code) quadratic effects (source, R code)

Downloads:

Package source:	modsem_1.0.3.tar.gz
Windows binaries:	r-devel: modsem_1.0.3.zip, r-release: modsem_1.0.3.zip, r-oldrel: modsem_1.0.3.zip
macOS binaries:	r-release (arm64): modsem_1.0.3.tgz, r-oldrel (arm64): modsem_1.0.3.tgz, r-release (x86_64): modsem_1.0.3.tgz, r-oldrel (x86_64): modsem_1.0.3.tgz
Old sources:	modsem archive

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