Psychological Network Analysis and Psychometric Insights

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Documentation for package ‘InterconectaR’ version 1.0.1

• DESCRIPTION file
• Package NEWS
• Package README

Help Pages

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_errors_groups	MGM Errors by Group
mgm_error_metrics	MGM Error Metrics
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_networks_by_group	Plot networks by group as a combined panel
plot_net_group	Plot two networks side by side with R2 progress rings
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