action_to_onehot        Convert Action Column to One-Hot Encoding
actor_endpoints         Tidy per-actor endpoint summary of a
                        wide-format sequence dataset
as_htna                 Build a grouped node-level network (htna) from
                        data and a clustering
as_netdifference        Coerce an inferential comparison to a network
                        difference
as_netobject            Coerce a network object to a Nestimate
                        netobject
as_networks             Promote a psychometric MCML result to a network
                        group
as_tna                  Promote the Layers of an mcml to Networks
association_rules       Discover Association Rules from Sequential or
                        Transaction Data
bayes_compare           Bayesian Dirichlet-Multinomial comparison of
                        two transition networks
betti_numbers           Betti Numbers
bipartite_groups        Hypergraph from bipartite group / event data
boot_glasso             Bootstrap for Regularized Partial Correlation
                        Networks
bootstrap_network       Bootstrap a Network Estimate
bottleneck_distance     Bottleneck Distance Between Persistence
                        Diagrams
build_atna              Build an Attention-Weighted Transition Network
                        (ATNA)
build_clusters          Cluster Sequences by Dissimilarity
build_cna               Build a Co-occurrence Network (CNA)
build_cor               Build a Correlation Network
build_ftna              Build a Frequency Transition Network (FTNA)
build_gimme             GIMME: Group Iterative Multiple Model
                        Estimation
build_glasso            Build a Graphical Lasso Network (EBICglasso)
build_hon               Build a Higher-Order Network (HON)
build_honem             Build HONEM Embeddings for Higher-Order
                        Networks
build_hypa              Detect Path Anomalies via HYPA
build_hypergraph        Higher-order hypergraph from a network's clique
                        structure
build_ising             Build an Ising Network
build_mcml              Build MCML from Raw Transition Data
build_mcml_pc           Multi-Cluster Multi-Level Aggregation for
                        Psychometric Networks
build_mlvar             Build a Multilevel Vector Autoregression
                        (mlVAR) network
build_mmm               Fit a Mixed Markov Model
build_mogen             Build Multi-Order Generative Model (MOGen)
build_network           Build a Network
build_pcor              Build a Partial Correlation Network
build_simplicial        Build a Simplicial Complex
build_tna               Build a Transition Network (TNA)
casedrop_reliability    Edge-weight Case-dropping Stability
centrality_stability    Centrality Stability Coefficient
                        (CS-coefficient)
certainty               Analytic certainty of network edges (Bayesian
                        Dirichlet-Multinomial)
chain_structure         Qualitative structure of a discrete-time Markov
                        chain
chatgpt_srl             ChatGPT Self-Regulated Learning Scale Scores
clique_expansion        Clique expansion of a hypergraph
cluster_choice          Cluster Choice - sweep k, dissimilarity and
                        method
cluster_diagnostics     Cluster Diagnostics
cluster_mmm             Cluster sequences using Mixed Markov Models
cluster_network         Cluster data and build per-cluster networks in
                        one step
cluster_summary         Cluster Summary Statistics
coefs                   Tidy coefficients from a fitted mlvar model
compare_mmm             Compare MMM fits across different k
compare_model           Compare two networks descriptively
compare_networks        Compare two or more networks
comparison_tables       Tables of a network comparison
composites              Cluster Scores From a Psychometric MCML Fit
convert_sequence_format
                        Convert Sequence Data to Different Formats
cooccurrence            Build a Co-occurrence Network
distribution_plot       State Distribution Plot Over Time
effects_table           Effect Table of a Fitted Outcome Model
entropy_bayes           Bayesian Transition Entropy
entropy_network         Transition Entropy Network
entropy_trajectory      Sliding-Window Transition Entropy Trajectory
estimate_network        Estimate a Network (Deprecated)
euler_characteristic    Euler Characteristic
evaluate_links          Evaluate Link Predictions Against Known Edges
extract_edges           Extract Edge List with Weights
extract_initial_probs   Extract Initial Probabilities from Model
extract_pathways        Cut an Event Log into Pathways
extract_transition_matrix
                        Extract Transition Matrix from Model
frequencies             Build a Transition Frequency Matrix
get_estimator           Retrieve a Registered Estimator
group_regulation_long   Group Regulation in Collaborative Learning
                        (Long Format)
hypergraph_centrality   Hypergraph eigenvector centralities
hypergraph_cluster      Spectral clustering of hypergraph vertices
hypergraph_laplacian    Normalized hypergraph Laplacian
hypergraph_measures     Structural measures for a hypergraph
hypergraph_transduction
                        Transductive label spreading on a hypergraph
item_loadings           Item Diagnostics From a Psychometric MCML Fit
learning_activities     Online Learning Activity Indicators
list_estimators         List All Registered Estimators
loading_stability       Composite-Weight Stability Under Case
                        Resampling
long-data               Human-AI Vibe Coding Interaction Data (Long
                        Format)
long_to_wide            Convert Long Format to Wide Sequences
macro_network           Cluster-Level Network, With One Cluster
                        Expanded
magnitude_difference    Magnitude difference between the frequency and
                        probability views
mark_first_state        Mark leading-NA cells with an explicit state
                        label
mark_terminal_state     Mark terminal-NA cells with an explicit state
                        label
markov_order_test       Test the Markov order of a sequential process
markov_stability        Markov Stability Analysis
mogen_transitions       Extract Transition Table from a MOGen Model
mosaic_analysis         Two-variable mosaic analysis (chi-square test +
                        flat mosaic)
mosaic_plot             Mosaic Plot of a Network's Transition or
                        Co-occurrence Counts
nct                     Network Comparison Test
net_aggregate_weights   Aggregate Edge Weights
net_centrality          Compute Centrality Measures for a Network
net_deprune             Undo Network Pruning
net_edge_betweenness    Edge Betweenness Network
net_prune               Prune a Network's Edges
net_pruning_details     Report Network Pruning Details
net_reprune             Re-apply Network Pruning
network_reliability     Split-Half Reliability for Network Estimates
outcome_model           Model Unit-Level Outcomes from Sequence or
                        Network Predictors
passage_time            Mean First Passage Times
path_counts             Count Path Frequencies in Trajectory Data
path_dependence         Per-Context Path Dependence at Order k
pathways                Extract Pathways from Higher-Order Network
                        Objects
permutation             Permutation Test for Network Comparison
permutation_diagnostics
                        Does Nesting Bias a Permutation Test?
persistence_landscape   Persistence Landscape
persistent_homology     Persistent Homology
plot_mosaic             Draw a Marimekko / Mosaic Plot from a Tidy Data
                        Frame
plot_state_frequencies
                        Plot State Frequency Distributions
predict_links           Predict Missing or Future Links in a Network
predictability          Compute Node Predictability
prepare                 Prepare Event Log Data for Network Estimation
prepare_for_tna         Prepare Data for TNA Analysis
prepare_onehot          Import One-Hot Encoded Data into Sequence
                        Format
q_analysis              Q-Analysis
register_estimator      Register a Network Estimator
remove_estimator        Remove a Registered Estimator
rename_models           Rename the models of a 'netobject_group'
sequence_compare        Compare Subsequence Patterns Between Groups
sequence_plot           Sequence Plot (heatmap, index, or distribution)
session_ids             The session behind each sequence
set_state_colors        Set the state colours carried by a network
                        object
simplicial_degree       Simplicial Degree
simplicial_features     Tidy Topological Features for One or Many
                        Networks
srl_strategies          Self-Regulated Learning Strategy Frequencies
state_colors            The state colours an object will draw with
state_distribution      Per-Class State Distribution as a Tidy Data
                        Frame
state_frequencies       Compute State Frequencies from Trajectory Data
subtract_networks       Subtract one network from another
trajectories            Student Engagement Trajectories
transition_entropy      Transition Entropy of a Markov Chain
validate_netobject      Validate a netobject / cograph_network against
                        the shared schema
verify_simplicial       Verify Simplicial Complex Against igraph
vertex_bootstrap        Vertex Bootstrap for Network-Level Statistics
vertex_compare          Compare Network-Level Statistics of Two
                        Networks
wide_to_long            Convert Wide Sequences to Long Format
wtna                    Window-based Transition Network Analysis
