Package index • psychHypergraph

All functions

as_HyperG(): Convert psychHypergraph to HyperG hypergraph object
bootstrap_Oinfo(): BCa Bootstrap Validation for O-information
build_hypergraph(): Build Information-Theoretic Psychometric Hypergraph
compute_Oinfo(): Compute O-information for a Variable Subset
data_preprocess_pipeline(): Preprocessing Pipeline for Psychometric Hypergraph Analysis
generate_all_multiplets(): Generate All Candidate Variable Multiplets
generate_candidate_multiplets(): Generate Candidate Hyperedges from a Pairwise Network
generate_candidate_multiplets_possenti(): Generate Candidate Hyperedges Using the Possenti et al. (2026) Pipeline
hierarchical_validation(): Hierarchical Validation of Candidate Hyperedges
multiple_test_correction(): Adjust P-values for Multiple Testing
node_degree(): Calculate Hypergraph Node Degree Centrality
permutation_Oinfo(): Permutation Test for O-information
plot(<psychHypergraph>): Plot a psychHypergraph Object
plot(<psychHypergraphClustering>): Plot Hypergraph Clustering Results
plot_hyperedge(): Plot Hyperedge O-information Estimates
plot_node_degree(): Plot Hypergraph Node Degree Centrality
print(<psychHypergraph>): Print method for psychHypergraph objects
print(<psychHypergraphClustering>): Print method for psychHypergraphClustering
sig_multiplet_testing_pipeline(): Three-Stage Significance Testing Pipeline for Hyperedges
spectral_clustering(): Hypergraph Spectral Clustering
subset_hypergraph(): Subset psychHypergraph based on various criteria
suggest_k(): Suggest the Number of Clusters Using the Eigengap Heuristic
summary(<psychHypergraph>): Summary method for psychHypergraph objects