Estimate, assess, test, and study linear, nonlinear, hierarchical and multigroup structural equation models using compositebased approaches and procedures, including estimation techniques such as partial least squares path modeling (PLSPM) and its derivatives (PLSc, ordPLSc, robustPLSc), generalized structured component analysis (GSCA), generalized structured component analysis with uniqueness terms (GSCAm), generalized canonical correlation analysis (GCCA), principal component analysis (PCA), factor score regression (FSR) using sum score, regression or bartlett scores (including bias correction using Croon’s approach), as well as several tests and typical postestimation procedures (e.g., verify admissibility of the estimates, assess the model fit, test the model fit etc.).
Package details 


Author  Manuel E. Rademaker [aut, cre] (<https://orcid.org/0000000289023561>), Florian Schuberth [aut] (<https://orcid.org/0000000221109086>), Tamara Schamberger [ctb] (<https://orcid.org/000000027845784X>), Michael Klesel [ctb] (<https://orcid.org/0000000228841819>), Theo K. Dijkstra [ctb], Jörg Henseler [ctb] (<https://orcid.org/0000000297363048>) 
Maintainer  Manuel E. Rademaker <manuel.rademaker@uniwuerzburg.de> 
License  GPL3 
Version  0.4.0 
URL  https://github.com/MERademaker/cSEM https://merademaker.github.io/cSEM/ 
Package repository  View on CRAN 
Installation 
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