CRAN/E | EGAnet

EGAnet

Exploratory Graph Analysis – a Framework for Estimating the Number of Dimensions in Multivariate Data using Network Psychometrics

Installation

About

Implements the Exploratory Graph Analysis (EGA) framework for dimensionality and psychometric assessment. EGA estimates the number of dimensions in psychological data using network estimation methods and community detection algorithms. A bootstrap method is provided to assess the stability of dimensions and items. Fit is evaluated using the Entropy Fit family of indices. Unique Variable Analysis evaluates the extent to which items are locally dependent (or redundant). Network loadings provide similar information to factor loadings and can be used to compute network scores. A bootstrap and permutation approach are available to assess configural and metric invariance. Hierarchical structures can be detected using Hierarchical EGA. Time series and intensive longitudinal data can be analyzed using Dynamic EGA, supporting individual, group, and population level assessments.

Citation EGAnet citation info
r-ega.net
Bug report File report

Key Metrics

Version 2.0.5
R ≥ 3.5.0
Published 2024-03-15 36 days ago
Needs compilation? yes
License GPL (≥ 3.0)
CRAN checks EGAnet results

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Maintainer

Maintainer

Hudson Golino

hfg9s@virginia.edu

Authors

Hudson Golino

aut / cre

Alexander Christensen

aut

Robert Moulder

ctb

Luis E. Garrido

ctb

Laura Jamison

ctb

Dingjing Shi

ctb

Material

NEWS
Reference manual
Package source

In Views

Psychometrics

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

EGAnet archive

Depends

R ≥ 3.5.0

Imports

dendextend
fungible
future
future.apply
glasso
GGally
ggplot2
ggpubr
GPArotation
igraph ≥ 1.3.0
lavaan
Matrix
methods
network
progressr
qgraph
semPlot
sna
stats

Suggests

fitdistrplus
gridExtra
knitr
markdown
pbapply
progress
psych
pwr
RColorBrewer

Reverse Suggests

parameters