Building and Estimating Structural Equation Models R package seminr version 2.5.0 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 (Ray, Danks, and Valdez 2021 <doi:10.2139/ssrn.3900621>). Software Depends: R (>= 4.1.0) Imports: parallel, lavaan, glue, DiagrammeR (>= 1.0.6), DiagrammeRsvg (>= 0.1), stats Suggests: knitr, rmarkdown, testthat, webp Enhances: rsvg (>= 2.1), semPlot, vdiffr, seminrExtras Nicholas Patrick Danks <nicholasdanks@hotmail.com> Comprehensive R Archive Network (CRAN) 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] GPL-3 2026-05-25 application/tgz https://CRAN.R-project.org/package=seminr doi:10.32614/CRAN.package.seminr