Density_report          Network Density Report
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
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 plot
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 Simulation
show_plots              Visualize all plots stored in a
                        'sample_size_EGA_montecarlo' object
show_recommendation     One-line dynamic recommendation message
structure_groups        Structure Groups
summarise_case_drop_stability
                        Summarise Case Drop Stability
summarise_nonparametric_edges
                        Summarise Nonparametric Edges
summary_metrics         Summarize Network Performance Metrics
