Package: modsem 1.0.4
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."
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modsem_1.0.4.tar.gz
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modsem.pdf |modsem.html✨
modsem/json (API)
# Install 'modsem' in R: |
install.packages('modsem', repos = c('https://kss2k.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kss2k/modsem/issues
interaction-effectinteraction-effectslatent-moderated-structural-equationslavaan-syntaxlmsmoderationqmlquasi-maximum-likelihoodrlangrlanguagesemstructural-equation-modelingstructural-equation-models
Last updated 22 hours agofrom:92c4d9a44c. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 22 2024 |
R-4.5-win-x86_64 | OK | Nov 22 2024 |
R-4.5-linux-x86_64 | OK | Nov 22 2024 |
R-4.4-win-x86_64 | OK | Nov 22 2024 |
R-4.4-mac-x86_64 | OK | Nov 22 2024 |
R-4.4-mac-aarch64 | OK | Nov 22 2024 |
R-4.3-win-x86_64 | OK | Nov 22 2024 |
R-4.3-mac-x86_64 | OK | Nov 22 2024 |
R-4.3-mac-aarch64 | OK | Nov 22 2024 |
Exports:coef_modsem_dacompare_fitdefault_settings_dadefault_settings_piextract_lavaanfit_modsem_daget_pi_dataget_pi_syntaxmodsemmodsem_damodsem_inspectmodsem_mplusmodsem_pimodsemifymultiplyIndicatorsCppparameter_estimatesplot_interactionstandardized_estimatestrace_pathvar_interactionsvcov_modsem_da
Dependencies:askpassbackportsBHbootcheckmateclicodacolorspacecurldata.tabledigestdplyrfansifarverfastDummiesfastGHQuadgenericsggplot2gluegsubfngtablehttrisobandjsonlitelabelinglatticelavaanlifecyclemagrittrMASSMatrixmgcvmimemnormtMplusAutomationmunsellmvnfastmvtnormnlmenumDerivopensslpanderpbivnormpillarpkgconfigplyrprotopurrrquadprogR6RColorBrewerRcppRcppArmadillorlangscalesstringistringrsystexregtibbletidyselectutf8vctrsviridisLitewithrxtable
customizing interaction terms
Rendered fromcustomizing.Rmd
usingknitr::rmarkdown
on Nov 22 2024.Last update: 2024-10-17
Started: 2024-05-31
higher order interactions
Rendered fromhigher_order_interactions.Rmd
usingknitr::rmarkdown
on Nov 22 2024.Last update: 2024-11-07
Started: 2024-11-03
interaction effects between endogenous variables
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usingknitr::rmarkdown
on Nov 22 2024.Last update: 2024-10-17
Started: 2024-06-04
LMS and QML approaches
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usingknitr::rmarkdown
on Nov 22 2024.Last update: 2024-11-15
Started: 2024-05-31
methods
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usingknitr::rmarkdown
on Nov 22 2024.Last update: 2024-11-15
Started: 2024-05-31
modsem
Rendered frommodsem.Rmd
usingknitr::rmarkdown
on Nov 22 2024.Last update: 2024-10-17
Started: 2024-05-31
observed variables in the LMS- and QML approach
Rendered fromobserved_lms_qml.Rmd
usingknitr::rmarkdown
on Nov 22 2024.Last update: 2024-10-17
Started: 2024-06-22
plotting interaction effects
Rendered fromplot_interactions.Rmd
usingknitr::rmarkdown
on Nov 22 2024.Last update: 2024-11-03
Started: 2024-06-01
quadratic effects
Rendered fromquadratic.Rmd
usingknitr::rmarkdown
on Nov 22 2024.Last update: 2024-11-03
Started: 2024-05-31
using lavaan functions
Rendered fromlavaan.Rmd
usingknitr::rmarkdown
on Nov 22 2024.Last update: 2024-07-26
Started: 2024-05-31