Package: modsem
Type: Package
Title: Latent Interaction (and Moderation) Analysis in Structural
        Equation Models (SEM)
Version: 0.1.3
Authors@R: 
    person(given = "Kjell", family = "Solem Slupphaug", 
           email = "slupphaugkjell@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0009-0005-8324-2834"))
Maintainer: Kjell Solem Slupphaug <slupphaugkjell@gmail.com>
Description: 
    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." 
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.1
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, purrr, stringr, lavaan, rlang, MplusAutomation, nlme,
        R6, dplyr, mvnfast, stats, gaussquad, mvtnorm
Depends: R (>= 3.50)
URL: https://github.com/Kss2k/modsem
NeedsCompilation: yes
Packaged: 2024-05-27 13:56:18 UTC; kjell
Author: Kjell Solem Slupphaug [aut, cre]
    (<https://orcid.org/0009-0005-8324-2834>)
Repository: CRAN
Date/Publication: 2024-05-27 14:30:02 UTC
Built: R 4.2.3; aarch64-apple-darwin20; 2024-05-27 17:14:51 UTC; unix
Archs: modsem.so.dSYM
