hfgolino/EGA: Exploratory Graph Analysis: Estimating the number of dimensions in psychological data
Version 0.3

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.

Getting started

Package details

AuthorHudson F. Golino
MaintainerHudson F. Golino <[email protected]>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
hfgolino/EGA documentation built on March 28, 2018, 9:38 a.m.