A powerful, easy to use syntax for specifying and estimating complex Structural Equation Models. Models can be estimated using Partial Least Squares Path Modeling or Covariance-Based Structural Equation Modeling or covariance based Confirmatory Factor Analysis. Methods described in Ray, Danks, and Valdez (2021).
Version: 2.3.6 Depends: R (≥ 4.1.0) Imports: parallel, lavaan, glue, knitr, testthat, rmarkdown, DiagrammeR (≥ 1.0.6), DiagrammeRsvg (≥ 0.1), webp Enhances: rsvg (≥ 2.1), semPlot, vdiffr, seminrExtras Published: 2025-07-24 DOI: 10.32614/CRAN.package.seminr Author: Soumya Ray [aut, ths], Nicholas Patrick Danks [aut, cre], André Calero Valdez [aut], Juan Manuel Velasquez Estrada [ctb], James Uanhoro [ctb], Johannes Nakayama [ctb], Lilian Koyan [ctb], Laura Burbach [ctb], Arturo Heynar Cano Bejar [ctb], Susanne Adler [ctb] Maintainer: Nicholas Patrick Danks <nicholasdanks at hotmail.com> BugReports: https://github.com/sem-in-r/seminr/issues License: GPL-3 URL: https://github.com/sem-in-r/seminr NeedsCompilation: no Materials: README CRAN checks: seminr results [issues need fixing before 2025-08-19]RetroSearch is an open source project built by @garambo | Open a GitHub Issue
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