R-universe - sem-in-r (SEM-in-R)

seminr - Building and Estimating Structural Equation Models

A powerful, easy to use 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 (Ray, Danks, and Valdez 2021 <doi:10.2139/ssrn.3900621>).

Last updated

common-factorscompositesconstructpls-models

10.05 score 79 stars 1 dependents 513 scripts 5.2k downloads

seminrExtras - Conduct Additional Modeling and Analysis for 'seminr'

Supplementary tools for evaluating and validating partial least squares structural equation models estimated with 'seminr'. Provides methods for predictive model assessment, importance-performance analysis with necessary condition testing, overfitting diagnostics, measurement model verification, mediator contribution analysis, unobserved heterogeneity detection via latent class and prediction-oriented segmentation, and congruence coefficient testing. All functions accept estimated 'seminr' model objects and return results with print, summary, and plot methods.

Last updated

5.08 score 48 scripts 421 downloads