Package: plssem
Type: Package
Title: Complex Partial Least Squares Structural Equation Modeling
Version: 0.1.0
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: 
    Estimate complex Structural Equation Models (SEMs) by fitting Partial
    Least Squares Structural Equation Modeling (PLS-SEM) and Partial Least
    Squares consistent Structural Equation Modeling (PLSc-SEM) specifications
    that handle categorical data, non-linear relations, and multilevel
    structures. The implementation follows Lohmöller (1989) for the classic PLS-SEM
    algorithm, Dijkstra and Henseler (2015) for consistent PLSc-SEM, Dijkstra et al.,
    (2014) for nonlinear PLSc-SEM, and Schuberth, Henseler, Dijkstra (2018)
    for ordinal PLS-SEM and PLSc-SEM. Additional extensions are under development.
    References:
    Lohmöller, J.-B. (1989, ISBN:9783790803002).
      "Latent Variable Path Modeling with Partial Least Squares."
    Dijkstra, T. K., & Henseler, J. (2015).
      <doi:10.1016/j.jmva.2015.06.002>.
      "Consistent partial least squares path modeling."
    Dijkstra, T. K., & Schermelleh-Engel, K. (2014).
      <doi:10.1016/j.csda.2014.07.008>.
      "Consistent partial least squares for nonlinear structural equation models."
    Schuberth, F., Henseler, J., & Dijkstra, T. K. (2018).
      <doi:10.1007/s11135-018-0767-9>.
      "Partial least squares path modeling using ordinal categorical indicators."
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
Imports: stats, modsem (>= 1.0.17), lme4, lavaan, cli, stringr, purrr,
        matrixStats, SimDesign, Rfast, collapse, mvnfast, reformulas
Depends: R (>= 4.1.0)
URL: https://github.com/kss2k/plssem
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-18 11:49:23 UTC; kss
Author: Kjell Solem Slupphaug [aut, cre] (ORCID:
    <https://orcid.org/0009-0005-8324-2834>)
Repository: CRAN
Date/Publication: 2026-03-23 09:40:06 UTC
Built: R 4.6.0; ; 2026-04-06 04:27:34 UTC; windows
