Exploratory Graph Analysis – a Framework for Estimating the
Number of Dimensions in Multivariate Data using Network
Psychometrics
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Documentation for package ‘EGAnet’ version 1.1.0
Help Pages
| EGAnet-package | EGAnet-package |
| boot.ergoInfo | Bootstrap Test for the Ergodicity Information Index |
| boot.wmt | 'bootEGA' Results of 'wmt2'Data |
| bootEGA | Dimension Stability Analysis of 'EGA' |
| CFA | CFA Fit of 'EGA' Structure |
| color_palette_EGA | 'EGA' Color Palettes |
| compare.EGA.plots | Visually Compares 'EGAnet' plots |
| depression | Depression Data |
| dimensionStability | Dimension Stability Statistics from 'bootEGA' |
| dnn.weights | Loadings Comparison Test Deep Learning Neural Network Weights |
| dynEGA | Dynamic Exploratory Graph Analysis |
| dynEGA.ind.pop | Dynamic EGA used in the mctest.ergoInfo function |
| EBICglasso.qgraph | 'EBICglasso' from 'qgraph' 1.4.4 |
| EGA | Applies the Exploratory Graph Analysis technique |
| EGA.estimate | A Sub-routine Function for 'EGA' |
| EGA.fit | 'EGA' Optimal Model Fit using the Total Entropy Fit Index ('tefi') |
| ega.wmt | EGA WMT-2 Data |
| EGAnet | EGAnet-package |
| Embed | Time-delay Embedding |
| entropyFit | Entropy Fit Index |
| ergoInfo | Ergodicity Information Index |
| glla | Generalized Local Linear Approximation |
| hierEGA | Hierarchical 'EGA' |
| intelligenceBattery | Intelligence Data |
| invariance | Measurement Invariance of 'EGA' Structure |
| itemStability | Item Stability Statistics from 'bootEGA' |
| LCT | Loadings Comparison Test |
| louvain | Louvain Community Detection Algorithm |
| mctest.ergoInfo | Monte-Carlo Test for the Ergodicity Information Index |
| methods.section | Automated Methods Section for 'EGAnet' Objects |
| net.loads | Network Loadings |
| net.scores | Network Scores |
| network.descriptives | Descriptive Statistics for Networks |
| optimism | Optimism Data |
| plot.bootEGA | S3Methods for Plotting |
| plot.CFA | S3Methods for Plotting |
| plot.dynEGA | S3Methods for Plotting |
| plot.dynEGA.Groups | S3Methods for Plotting |
| plot.dynEGA.Individuals | S3Methods for Plotting |
| plot.EGA | S3Methods for Plotting |
| plot.NetLoads | S3Methods for Plotting |
| plots | S3Methods for Plotting |
| prime.num | Prime Numbers through 100,000 |
| print.dynEGA | S3Methods for Printing |
| print.dynEGA.Groups | S3Methods for Printing |
| print.dynEGA.Individuals | S3Methods for Printing |
| print.EGA | S3Methods for Printing |
| print.hierEGA | S3Methods for Printing |
| print.invariance | S3Methods for Printing |
| print.NetLoads | S3Methods for Printing |
| prints | S3Methods for Printing |
| residualEGA | Residualized 'EGA' |
| riEGA | Random-Intercept 'EGA' |
| sim.dynEGA | sim.dynEGA Data |
| simDFM | Simulate data following a Dynamic Factor Model |
| summary.CFA | S3Methods for Summaries |
| summary.dynEGA | S3Methods for Summaries |
| summary.dynEGA.Groups | S3Methods for Summaries |
| summary.dynEGA.Individuals | S3Methods for Summaries |
| summary.EGA | S3Methods for Summaries |
| summary.NetLoads | S3Methods for Summaries |
| summarys | S3Methods for Summaries |
| tefi | Total Entropy Fit Index using Von Neumman's entropy (Quantum Information Theory) for correlation matrices |
| TMFG | Triangulated Maximally Filtered Graph |
| totalCor | Total Correlation |
| totalCorMat | Total Correlation Matrix |
| toy.example | Toy Example Data |
| UVA | Unique Variable Analysis |
| vn.entropy | Entropy Fit Index using Von Neumman's entropy (Quantum Information Theory) for correlation matrices |
| wmt2 | WMT-2 Data |