An implementation of the Exploratory Graph Analysis (EGA). EGA is part of a new area called network psychometrics, that focuses on the estimation of undirected network models to psychological datasets. EGA estimates the number of dimensions or factors using graphical lasso and a weighted network community analysis. A bootstrap method for verifying the stability of the estimation is also available. The fit of the structure suggested by EGA can be verified using confirmatory factor analysis and a direct way to convert the EGA structure to CFA is also implemented. Documentation and examples are available.
|Author||Hudson F. Golino|
|Maintainer||Hudson F. Golino <[email protected]>|
|Package repository||View on GitHub|
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