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seminr: Building and Estimating Structural Equation Models

A powerful, easy to 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: 2.3.2
Depends: R (≥ 3.5.0)
Imports: parallel, lavaan, glue, knitr, testthat, rmarkdown, DiagrammeR (≥ 1.0.6), DiagrammeRsvg (≥ 0.1), webp
Enhances: rsvg (≥ 2.1), semPlot, vdiffr
Published: 2022-10-12
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>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: seminr results

Documentation:

Reference manual: seminr.pdf
Vignettes: SEMinR

Downloads:

Package source: seminr_2.3.2.tar.gz
Windows binaries: r-devel: seminr_2.3.2.zip, r-release: seminr_2.3.2.zip, r-oldrel: seminr_2.3.2.zip
macOS binaries: r-release (arm64): seminr_2.3.2.tgz, r-oldrel (arm64): seminr_2.3.2.tgz, r-release (x86_64): seminr_2.3.2.tgz, r-oldrel (x86_64): seminr_2.3.2.tgz
Old sources: seminr archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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