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: |
2.3.3 |
| 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: |
2024-06-17 |
| 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 2024-09-29] |