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EGAnet
View on CRAN: Click
here
Download and install EGAnet package within the R console
Install from CRAN:
install.packages("EGAnet")
Install from Github:
library("remotes")
install_github("cran/EGAnet")
Install by package version:
library("remotes")
install_version("EGAnet", "2.1.0")
Attach the package and use:
library("EGAnet")
Maintained by
Hudson Golino
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-02
Latest Update: 2024-01-22
Description:
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.
How to cite:
Hudson Golino (2019). EGAnet: Exploratory Graph Analysis – a Framework for Estimating the Number of Dimensions in Multivariate Data using Network Psychometrics. R package version 2.1.0, https://cran.r-project.org/web/packages/EGAnet. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.4 (2019-05-02 09:00), 0.5 (2019-06-03 14:10), 0.7 (2019-07-24 17:00), 0.8 (2019-09-25 10:20), 0.9.0 (2020-01-19 01:20), 0.9.1 (2020-01-29 18:10), 0.9.3 (2020-03-05 18:50), 0.9.6 (2020-07-13 06:40), 0.9.8 (2021-02-16 19:10), 1.0.0 (2021-11-10 09:20), 1.1.0 (2022-05-10 16:10), 1.2.0 (2022-08-12 19:50), 1.2.3 (2022-09-05 17:50), 2.0.0 (2023-08-16 11:22), 2.0.1 (2023-08-23 09:20), 2.0.2 (2023-10-25 10:50), 2.0.3 (2023-11-17 18:30), 2.0.4 (2024-01-22 16:02), 2.0.5 (2024-03-15 13:30), 2.0.6 (2024-04-22 23:50), 2.0.7 (2024-09-02 22:00), 2.0.8 (2024-09-28 04:20)
Other packages that cited EGAnet R package
View EGAnet citation profile
Other R packages that EGAnet depends,
imports, suggests or enhances
Complete documentation for EGAnet
Functions, R codes and Examples using
the EGAnet R package
Some associated functions: CFA . EBICglasso.qgraph . EGA.estimate . EGA.fit . EGA . EGAnet-package . Embed . LCT . TMFG . UVA . boot.ergoInfo . boot.wmt . bootEGA . color_palette_EGA . compare.EGA.plots . convert2igraph . depression . dimensionStability . dnn.weights . dynEGA.ind.pop . dynEGA . ega.wmt . entropyFit . ergoInfo . glla . hierEGA . infoCluster . intelligenceBattery . invariance . itemStability . jsd.ergoInfo . jsd . louvain . mctest.ergoInfo . methods.section . net.loads . net.scores . network.descriptives . optimism . plots . prime.num . prints . residualEGA . riEGA . sim.dynEGA . simDFM . summarys . tefi . totalCor . totalCorMat . toy.example . vn.entropy . wmt2 .
Some associated R codes: CFA.R . EBICglasso.qgraph.R . EGA.R . EGA.estimate.R . EGA.fit.R . EGAnet.R . Embed.R . LCT.R . TMFG.R . UVA.R . boot.ergoInfo.R . boot.wmt.R . bootEGA.R . color_palette_EGA.R . compare.EGA.plots.R . convert2igraph.R . depression.R . dimensionStability.R . dnn.weights.R . dynEGA.R . dynEGA.ind.pop.R . ega.wmt.R . entropyFit.R . ergoInfo.R . glla.R . globals.R . hierEGA.R . infoCluster.R . intelligenceBattery.R . invariance.R . itemStability.R . jsd.R . jsd.ergoInfo.R . louvain.R . mctest.ergoInfo.R . methods.R . methods.section.R . net.loads.R . net.scores.R . network.descriptives.R . optimism.R . plots.R . prime.num.R . prints.R . residualEGA.R . riEGA.R . sim.dynEGA.R . simDFM.R . summarys.R . tefi.R . totalCor.R . totalCorMat.R . toy.example.R . utils-EGAnet.R . utils-EGAnet.methods.section.R . vn.entropy.R . wmt2.R . zzz.R . Full EGAnet package functions and examples
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