Man pages for InterconectaR
Psychological Network Analysis and Psychometric Insights
| boot_and_evaluate | Bootstrap and Evaluate Network Analysis |
| calculate_centrality_sd_correlation | Centrality-SD Correlation |
| centrality_bridge_plot | Bridge Centrality Plot |
| centrality_bullet_plot | Bullet Chart para Indices de Centralidad |
| centrality_cleveland_plot | Cleveland Dot Plot para Indices de Centralidad |
| centrality_duo_plot | Dual Centrality Plot |
| centrality_plots2 | Centrality Plot (Version 2) |
| choose_best_method | Choose Best Method |
| combine_graphs_centrality | Combine Network and Centrality Graphs |
| combine_graphs_centrality2 | Combine Network and Centrality Graphs (Version 2) |
| combine_groupBy | Combine Group Plots |
| compute_netScores | Compute Network Scores |
| convert_EGA_list_to_df | Convert EGA List to Data Frame |
| convert_EGA_to_df | Convert EGA Result to Data Frame |
| Density_report | Network Density Report |
| estimate_networks_by_group | Estimate Networks by Group |
| filter_correlation_stability | Filter Correlation Stability |
| get_edge_weights_summary | Edge Weights Summary |
| make_likert_thresholds | Generate Likert-Style Threshold Patterns |
| mgm_error_metrics | MGM Error Metrics |
| mgm_errors_groups | MGM Errors by Group |
| net_reduce2 | Network Reduction |
| optimize_leiden_resolution | Optimize Leiden Resolution |
| plot_avg_TEFI | Plot Average TEFI by Sample Size |
| plot_centrality_by_group | Plot centrality measures by group |
| plot_centrality_stability | Plot centrality stability diagnostics |
| plot_failure_decomposition | Plot Replication-Level Failure Decomposition Per Sample Size |
| plot_latent_network_diagram | Plot a latent network diagram (SEM path diagram) |
| plot_lvm | Plot Latent Variable Models |
| plot_net | Plot a single network with R2 progress rings |
| plot_net_group | Plot two networks side by side with R2 progress rings |
| plot_networks_by_group | Plot networks by group as a combined panel |
| plot_performance_metrics | Plot Network Performance Metrics |
| plot_power_curve_ci | Plot the Power Curve with Bootstrap Confidence Band |
| plot_sample_size_EGA_montecarlo | Plot Monte Carlo EGA Sample Size Results |
| print.sample_size_EGA_montecarlo | Narrative summary of a sample-size simulation |
| print.scale_network_analysis | Print method for scale_network_analysis objects |
| process_LCT | Process LCT (Loadings Comparison Test) results |
| qgraph_centrality_panel | Create a combined panel with qgraph network and centrality... |
| refine_items_by_stability | Iteratively refine items by bootstrap stability |
| run_EGA_combinations | Run EGA Combinations |
| run_netpowerlab | Launch the NetPowerLab Shiny Application |
| sample_size_EGA_control | Default control parameters for 'sample_size_EGA_montecarlo()' |
| sample_size_EGA_montecarlo | A Priori Sample Size Estimation for EGA Using Monte Carlo... |
| show_plots | Visualize all plots stored in a 'sample_size_EGA_montecarlo'... |
| show_recommendation | One-line dynamic recommendation message |
| silent_print | Print plots without the warnings of their internal layers |
| structure_groups | Structure Groups |
| summarise_case_drop_stability | Summarise Case Drop Stability |
| summarise_nonparametric_edges | Summarise Nonparametric Edges |
| summary_metrics | Summarize Network Performance Metrics |
