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: | 2.3.4 |
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: | 2024-10-13 |
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 |
Reference manual: | seminr.pdf |
Vignettes: |
SEMinR (source, R code) |
Package source: | seminr_2.3.4.tar.gz |
Windows binaries: | r-devel: seminr_2.3.4.zip, r-release: seminr_2.3.4.zip, r-oldrel: seminr_2.3.4.zip |
macOS binaries: | r-release (arm64): seminr_2.3.4.tgz, r-oldrel (arm64): seminr_2.3.4.tgz, r-release (x86_64): seminr_2.3.4.tgz, r-oldrel (x86_64): seminr_2.3.4.tgz |
Old sources: | seminr archive |
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