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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).
Package details |
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| 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@hotmail.com> |
| License | GPL-3 |
| Version | 2.3.4 |
| URL | https://github.com/sem-in-r/seminr |
| Package repository | View on CRAN |
| Installation |
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