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]>
LicenseGPL-3
Version0.3
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("hfgolino/EGA")
hfgolino/EGA documentation built on Nov. 29, 2017, 4:15 p.m.