Package: plssem
Type: Package
Title: Complex Partial Least Squares Structural Equation Modeling
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: 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. The MC-OrdPLSc algorithm, used to handle ordinal
        interaction models is detailed in Slupphaug et al., (2026).
        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." Slupphaug, K.
        Mehmetoglu, M. & Mittner, M. (2026).
        <doi:10.31234/osf.io/fwzj6_v1>. "Consistent Estimates from
        Biased Estimators: Monte-Carlo Consistent Partial Least Squares
        for Latent Interaction Models with Ordinal Indicators."
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: methods, stats, modsem (>= 1.0.20), lme4, lavaan, stringr,
        matrixStats, Rfast, collapse, mvnfast, reformulas, future,
        future.apply, progressr, FNN, MASS
Depends: R (>= 4.1.0)
URL: https://github.com/kss2k/plssem, https://kss2k.github.io/plssem/
Suggests: knitr, rmarkdown, ggplot2, mice, mvtnorm, pkgload
VignetteBuilder: knitr
Config/roxygen2/version: 8.0.0
RoxygenNote: 7.3.3
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev
Repository: https://kss2k.r-universe.dev
Date/Publication: 2026-07-03 12:25:41 UTC
RemoteUrl: https://github.com/kss2k/plssem
RemoteRef: HEAD
RemoteSha: c09c1bf92b17dbfcb56f2d13ca60ba55145d1629
NeedsCompilation: no
Packaged: 2026-07-03 15:11:39 UTC; root
Author: Kjell Solem Slupphaug [aut, cre] (ORCID:
    <https://orcid.org/0009-0005-8324-2834>)