| Convert Action Column to One-Hot Encoding | action_to_onehot |
| Tidy per-actor endpoint summary of a wide-format sequence dataset | actor_endpoints |
| Build a grouped node-level network (htna) from data and a clustering | as_htna as_htna.default as_htna.mcml as_htna.net_mmm |
| Coerce an inferential comparison to a network difference | as_netdifference as_netdifference.default as_netdifference.netdifference as_netdifference.net_bayes |
| Coerce a network object to a Nestimate netobject | as_netobject as_netobject.cograph_network as_netobject.default as_netobject.netobject as_netobject.psychnet |
| Promote a psychometric MCML result to a network group | as_networks as_networks.default as_networks.mcml_pc |
| Convert cluster_summary to tna Objects | as_tna as_tna.default as_tna.mcml |
| Discover Association Rules from Sequential or Transaction Data | association_rules |
| Bayesian Dirichlet-Multinomial comparison of two transition networks | bayes_compare |
| Betti Numbers | betti_numbers |
| Hypergraph from bipartite group / event data | bipartite_groups |
| Bootstrap for Regularized Partial Correlation Networks | boot_glasso |
| Bootstrap a Network Estimate | bootstrap_network |
| Bottleneck Distance Between Persistence Diagrams | bottleneck_distance |
| Build an Attention-Weighted Transition Network (ATNA) | build_atna |
| Cluster Sequences by Dissimilarity | build_clusters |
| Build a Co-occurrence Network (CNA) | build_cna |
| Build a Correlation Network | build_cor |
| Build a Frequency Transition Network (FTNA) | build_ftna |
| GIMME: Group Iterative Multiple Model Estimation | build_gimme |
| Build a Graphical Lasso Network (EBICglasso) | build_glasso |
| Build a Higher-Order Network (HON) | build_hon |
| Build HONEM Embeddings for Higher-Order Networks | build_honem |
| Detect Path Anomalies via HYPA | build_hypa |
| Higher-order hypergraph from a network's clique structure | build_hypergraph print.net_hypergraph summary.net_hypergraph |
| Build an Ising Network | build_ising |
| Build MCML from Raw Transition Data | build_mcml |
| Multi-Cluster Multi-Level Aggregation for Psychometric Networks | build_mcml_pc |
| Build a Multilevel Vector Autoregression (mlVAR) network | build_mlvar |
| Fit a Mixed Markov Model | build_mmm |
| Build Multi-Order Generative Model (MOGen) | build_mogen |
| Build a Network | build_network |
| Build a Partial Correlation Network | build_pcor |
| Build a Simplicial Complex | build_simplicial |
| Build a Transition Network (TNA) | build_tna |
| Edge-weight Case-dropping Stability | casedrop_reliability plot.net_casedrop_reliability plot.net_casedrop_reliability_group print.net_casedrop_reliability print.net_casedrop_reliability_group print.summary.net_casedrop_reliability_group summary.net_casedrop_reliability summary.net_casedrop_reliability_group |
| Centrality Stability Coefficient (CS-coefficient) | centrality_stability |
| Analytic certainty of network edges (Bayesian Dirichlet-Multinomial) | certainty |
| Qualitative structure of a discrete-time Markov chain | chain_structure |
| ChatGPT Self-Regulated Learning Scale Scores | chatgpt_srl |
| Clique expansion of a hypergraph | clique_expansion |
| Cluster Choice - sweep k, dissimilarity and method | cluster_choice |
| Cluster Diagnostics | as.data.frame.net_cluster_diagnostics cluster_diagnostics |
| Cluster sequences using Mixed Markov Models | cluster_mmm |
| Cluster data and build per-cluster networks in one step | cluster_network |
| Cluster Summary Statistics | cluster_summary |
| Tidy coefficients from a fitted mlvar model | coefs coefs.default coefs.net_mlvar |
| Compare MMM fits across different k | compare_mmm |
| Compare two networks descriptively | compare_model compare_model.cograph_network compare_model.matrix compare_model.netobject |
| Compare two networks within a netobject_group | compare_model.netobject_group |
| Convert Sequence Data to Different Formats | convert_sequence_format |
| Build a Co-occurrence Network | cooccurrence |
| State Distribution Plot Over Time | distribution_plot |
| Estimate a Network (Deprecated) | estimate_network |
| Euler Characteristic | euler_characteristic |
| Evaluate Link Predictions Against Known Edges | evaluate_links |
| Extract Edge List with Weights | extract_edges |
| Extract Initial Probabilities from Model | extract_initial_probs |
| Extract Transition Matrix from Model | extract_transition_matrix |
| Sequence Data Conversion Functions | frequencies |
| Retrieve a Registered Estimator | get_estimator |
| Group Regulation in Collaborative Learning (Long Format) | group_regulation_long |
| Hypergraph eigenvector centralities | hypergraph_centrality |
| Structural measures for a hypergraph | hypergraph_measures print.hypergraph_measures |
| Online Learning Activity Indicators | learning_activities |
| List All Registered Estimators | list_estimators |
| Composite-Weight Stability Under Case Resampling | loading_stability |
| Convert Long Format to Wide Sequences | long_to_wide |
| Human-AI Vibe Coding Interaction Data (Long Format) | ai_long human_long long-data |
| Magnitude difference between the frequency and probability views | magnitude_difference plot.magnitude_difference print.magnitude_difference |
| Mark leading-NA cells with an explicit state label | mark_first_state |
| Mark terminal-NA cells with an explicit state label | mark_terminal_state |
| Test the Markov order of a sequential process | markov_order_test |
| Markov Stability Analysis | markov_stability plot.net_markov_stability |
| Extract Transition Table from a MOGen Model | mogen_transitions |
| Two-variable mosaic analysis (chi-square test + flat mosaic) | mosaic_analysis |
| Mosaic Plot of a Network's Transition or Co-occurrence Counts | mosaic_plot mosaic_plot.default mosaic_plot.htna mosaic_plot.matrix mosaic_plot.mcml mosaic_plot.netobject mosaic_plot.netobject_group mosaic_plot.table |
| Network Comparison Test | nct |
| Aggregate Edge Weights | net_aggregate_weights |
| Compute Centrality Measures for a Network | net_centrality |
| Undo Network Pruning | net_deprune net_deprune.default net_deprune.netobject net_deprune.netobject_group |
| Edge Betweenness Network | net_edge_betweenness net_edge_betweenness.default net_edge_betweenness.netobject net_edge_betweenness.netobject_group |
| Prune a Network's Edges | net_prune net_prune.default net_prune.netobject net_prune.netobject_group |
| Report Network Pruning Details | net_pruning_details net_pruning_details.default net_pruning_details.netobject net_pruning_details.netobject_group |
| Re-apply Network Pruning | net_reprune net_reprune.default net_reprune.netobject net_reprune.netobject_group |
| Split-Half Reliability for Network Estimates | network_reliability |
| Mean First Passage Times | passage_time plot.net_mpt summary.net_mpt |
| Count Path Frequencies in Trajectory Data | path_counts |
| Per-Context Path Dependence at Order k | path_dependence |
| Extract Pathways from Higher-Order Network Objects | pathways pathways.netobject pathways.net_association_rules pathways.net_hon pathways.net_hypa pathways.net_link_prediction pathways.net_mogen |
| Permutation Test for Network Comparison | permutation |
| Persistence Landscape | persistence_landscape |
| Persistent Homology | persistent_homology |
| Draw a Marimekko / Mosaic Plot from a Tidy Data Frame | plot_mosaic |
| Plot State Frequency Distributions | plot_state_frequencies plot_state_frequencies.default plot_state_frequencies.htna plot_state_frequencies.mcml plot_state_frequencies.netobject plot_state_frequencies.netobject_group |
| Plot Method for boot_glasso | plot.boot_glasso |
| Plot method for 'chain_structure' | plot.chain_structure |
| Plot Method for cluster_choice | plot.cluster_choice |
| Plot an MCML-PC Object | plot.mcml_pc |
| Plot Method for mmm_compare | plot.mmm_compare |
| Plot method for mosaic_analysis objects | plot.mosaic_analysis |
| Plot Method for net_association_rules | plot.net_association_rules |
| Plot method for net_bayes | plot.net_bayes |
| Plot centrality measures | plot.net_centrality |
| Plot grouped centrality measures | plot.net_centrality_group |
| Plot Method for net_cluster_diagnostics | plot.net_cluster_diagnostics |
| Plot Sequence Clustering Results | plot.net_clustering |
| Plot a network comparison | plot.net_comparison |
| Plot edge-betweenness scores | plot.net_edge_betweenness |
| Plot Method for net_gimme | plot.net_gimme |
| Plot Method for net_honem | plot.net_honem |
| Plot Method for net_markov_order | plot.net_markov_order |
| Plot Method for net_mmm | plot.net_mmm |
| Plot Method for MMM Clustering Attribute | plot.net_mmm_clustering |
| Plot Method for net_mogen | plot.net_mogen |
| Plot method for 'net_path_dependence' | plot.net_path_dependence |
| Plot Method for net_reliability | plot.net_reliability |
| Plot Method for net_sequence_comparison | plot.net_sequence_comparison |
| Plot Method for net_stability | plot.net_stability |
| Plot method for 'net_transition_entropy' | plot.net_transition_entropy |
| Plot Vertex Bootstrap Distributions | plot.net_vertex_bootstrap |
| Plot a Two-Network Vertex-Bootstrap Comparison | plot.net_vertex_comparison |
| Plot Composite-Weight Stability | plot.pc_loading_stability |
| Plot Persistence Landscape | plot.persistence_landscape |
| Plot Persistent Homology | plot.persistent_homology |
| Plot Q-Analysis | plot.q_analysis |
| Plot a Simplicial Complex | plot.simplicial_complex |
| Predict Missing or Future Links in a Network | predict_links |
| Compute Node Predictability | predictability predictability.netobject predictability.netobject_group predictability.netobject_ml |
| Prepare Event Log Data for Network Estimation | prepare |
| Prepare Data for TNA Analysis | prepare_for_tna |
| Import One-Hot Encoded Data into Sequence Format | prepare_onehot |
| Print Method for boot_glasso | print.boot_glasso |
| Print method for 'chain_structure' | print.chain_structure |
| Print method for 'chain_structure_group' | print.chain_structure_group |
| Print Method for cluster_choice | print.cluster_choice |
| Print Method for mcml | print.mcml |
| Print Method for an mcml Layer | print.mcml_layer |
| Print an MCML-PC Object | print.mcml_pc |
| Print Method for mmm_compare | print.mmm_compare |
| Print method for mosaic_analysis objects | print.mosaic_analysis |
| Print Method for nestimate_data | print.nestimate_data |
| Print Method for net_association_rules | print.net_association_rules |
| Print method for net_bayes | print.net_bayes |
| Print method for net_bayes_group | print.net_bayes_group |
| Print Method for net_bootstrap | print.net_bootstrap |
| Print Method for net_bootstrap_group | print.net_bootstrap_group |
| Print Method for net_certainty | print.net_certainty |
| Print Method for net_cluster_diagnostics | print.net_cluster_diagnostics |
| Print Method for net_clustering | print.net_clustering |
| Print Method for net_gimme | print.net_gimme |
| Print Method for net_hon | print.net_hon |
| Print Method for net_honem | print.net_honem |
| Print Method for net_hypa | print.net_hypa |
| Print Method for net_link_prediction | print.net_link_prediction |
| Print Method for net_markov_order | print.net_markov_order |
| Print method for 'net_markov_order_group' | print.net_markov_order_group |
| Print method for 'net_markov_stability_group' | print.net_markov_stability_group |
| Print method for net_mlvar | print.net_mlvar |
| Print Method for net_mmm | print.net_mmm |
| Print Method for MMM Clustering Attribute | print.net_mmm_clustering |
| Print Method for net_mogen | print.net_mogen |
| Print method for 'net_mpt_group' | print.net_mpt_group |
| Print Method for net_nct | print.net_nct |
| Print method for 'net_path_dependence' | print.net_path_dependence |
| Print Method for net_permutation | print.net_permutation |
| Print Method for net_permutation_group | print.net_permutation_group |
| Print method for pruning details | print.net_pruning_details |
| Print Method for net_reliability | print.net_reliability |
| Print Method for net_sequence_comparison | print.net_sequence_comparison |
| Print Method for net_stability | print.net_stability |
| Print Method for net_stability_group | print.net_stability_group |
| Print method for 'net_transition_entropy' | print.net_transition_entropy |
| Print method for 'net_transition_entropy_group' | print.net_transition_entropy_group |
| Print a Vertex Bootstrap Result | print.net_vertex_bootstrap |
| Print a Two-Network Vertex-Bootstrap Comparison | print.net_vertex_comparison |
| Print Method for Network Object | print.netobject |
| Print Method for Group Network Object | print.netobject_group |
| Print Method for Multilevel Network Object | print.netobject_ml |
| Print Composite-Weight Stability | print.pc_loading_stability |
| Print Persistence Landscape | print.persistence_landscape |
| Print persistent homology results | print.persistent_homology |
| Print Q-analysis results | print.q_analysis |
| Print a simplicial complex | print.simplicial_complex |
| Print method for 'summary.chain_structure' | print.summary_chain_structure |
| Print method for 'summary.net_path_dependence' | print.summary.net_path_dependence |
| Print method for 'summary.net_transition_entropy' | print.summary.net_transition_entropy |
| Print method for tidy covariate output | print.tidy_covariates |
| Print Method for wtna_boot_mixed | print.wtna_boot_mixed |
| Print Method for wtna_mixed | print.wtna_mixed |
| Print Method for wtna_perm_mixed | print.wtna_perm_mixed |
| Q-Analysis | q_analysis |
| Register a Network Estimator | register_estimator |
| Remove a Registered Estimator | remove_estimator |
| Rename the models of a 'netobject_group' | rename_models rename_models.default rename_models.netobject_group |
| Compare Subsequence Patterns Between Groups | sequence_compare |
| Sequence Plot (heatmap, index, or distribution) | sequence_plot |
| Simplicial Degree | simplicial_degree |
| Self-Regulated Learning Strategy Frequencies | srl_strategies |
| Per-Class State Distribution as a Tidy Data Frame | state_distribution state_distribution.default state_distribution.htna state_distribution.mcml state_distribution.netobject state_distribution.netobject_group |
| Print, Plot, and Convert a state_freq Object | as.data.frame.state_freq plot.state_freq print.state_freq state_freq |
| Compute State Frequencies from Trajectory Data | state_frequencies |
| Subtract one network from another | print.netdifference subtract_networks |
| Summary Method for boot_glasso | summary.boot_glasso |
| Tidy per-state summary of a 'chain_structure' | summary.chain_structure |
| Cross-group comparison of 'chain_structure_group' | summary.chain_structure_group |
| Summary Method for cluster_choice | summary.cluster_choice |
| Summary Method for mcml | summary.mcml |
| Summarize an MCML-PC Object | summary.mcml_pc |
| Summary Method for mmm_compare | summary.mmm_compare |
| Summary method for mosaic_analysis objects | summary.mosaic_analysis |
| Summary Method for Initial Probability Vectors | summary.nest_initial_probs |
| Summary Method for Transition Count Matrices | summary.nest_transition_counts |
| Summary Method for Transition Matrices | summary.nest_transition_matrix |
| Summary Method for net_association_rules | summary.net_association_rules |
| Summary method for net_bayes | summary.net_bayes |
| Summary method for net_bayes_group | summary.net_bayes_group |
| Summary Method for net_bootstrap | summary.net_bootstrap |
| Summary Method for net_bootstrap_group | summary.net_bootstrap_group |
| Summary Method for net_clustering | summary.net_clustering |
| Summary Method for net_gimme | summary.net_gimme |
| Summary Method for net_hon | summary.net_hon |
| Summary Method for net_honem | summary.net_honem |
| Summary Method for net_hypa | summary.net_hypa |
| Summary Method for net_link_prediction | summary.net_link_prediction |
| Summary Method for net_markov_order | summary.net_markov_order |
| Summary method for net_mlvar | summary.net_mlvar |
| Summary Method for net_mmm | summary.net_mmm |
| Summary Method for net_mogen | summary.net_mogen |
| Summary Method for net_nct | summary.net_nct |
| Summary method for 'net_path_dependence' | summary.net_path_dependence |
| Summary Method for net_permutation | summary.net_permutation |
| Summary Method for net_permutation_group | summary.net_permutation_group |
| Summary Method for net_reliability | summary.net_reliability |
| Summary Method for net_sequence_comparison | summary.net_sequence_comparison |
| Summary Method for net_stability | summary.net_stability |
| Summary Method for net_stability_group | summary.net_stability_group |
| Summary method for 'net_transition_entropy' | summary.net_transition_entropy |
| Summarize a Vertex Bootstrap Result | summary.net_vertex_bootstrap |
| Summarize a Two-Network Vertex-Bootstrap Comparison | summary.net_vertex_comparison |
| Network metrics for a netobject | summary.netobject |
| Network metrics for a netobject_group | summary.netobject_group |
| Summary Method for wtna_boot_mixed | summary.wtna_boot_mixed |
| Summary Method for wtna_perm_mixed | summary.wtna_perm_mixed |
| Student Engagement Trajectories | trajectories |
| Transition Entropy of a Markov Chain | transition_entropy |
| Validate a netobject / cograph_network against the shared schema | validate_netobject |
| Verify Simplicial Complex Against igraph | verify_simplicial |
| Vertex Bootstrap for Network-Level Statistics | vertex_bootstrap |
| Compare Network-Level Statistics of Two Networks | vertex_compare |
| Convert Wide Sequences to Long Format | wide_to_long |
| Window-based Transition Network Analysis | wtna |
