Dynamic, Probabilistic, and Higher-Order Network Analysis

Documentation for package ‘Nestimate’ version 0.9.24

Help Pages

-- A --

action_to_onehot	Convert Action Column to One-Hot Encoding
actor_endpoints	Tidy per-actor endpoint summary of a wide-format sequence dataset
ai_long	Human-AI Vibe Coding Interaction Data (Long Format)
as.data.frame.net_cluster_diagnostics	Cluster Diagnostics
as.data.frame.net_hypergraph_cluster	Spectral clustering of hypergraph vertices
as.data.frame.net_hypergraph_transduction	Transductive label spreading on a hypergraph
as.data.frame.state_freq	Plot State Frequency Distributions
association_rules	Discover Association Rules from Sequential or Transaction Data
as_htna	Build a grouped node-level network (htna) from data and a clustering
as_htna.default	Build a grouped node-level network (htna) from data and a clustering
as_htna.mcml	Build a grouped node-level network (htna) from data and a clustering
as_htna.net_mmm	Build a grouped node-level network (htna) from data and a clustering
as_netdifference	Coerce an inferential comparison to a network difference
as_netdifference.default	Coerce an inferential comparison to a network difference
as_netdifference.netdifference	Coerce an inferential comparison to a network difference
as_netdifference.net_bayes	Coerce an inferential comparison to a network difference
as_netobject	Coerce a network object to a Nestimate netobject
as_netobject.cograph_network	Coerce a network object to a Nestimate netobject
as_netobject.default	Coerce a network object to a Nestimate netobject
as_netobject.netobject	Coerce a network object to a Nestimate netobject
as_netobject.psychnet	Coerce a network object to a Nestimate netobject
as_networks	Promote a psychometric MCML result to a network group
as_networks.default	Promote a psychometric MCML result to a network group
as_networks.mcml_pc	Promote a psychometric MCML result to a network group
as_tna	Promote the Layers of an mcml to Networks
as_tna.default	Promote the Layers of an mcml to Networks
as_tna.mcml	Promote the Layers of an mcml to Networks

-- B --

bayes_compare	Bayesian Dirichlet-Multinomial comparison of two transition networks
betti_numbers	Betti Numbers
bipartite_groups	Hypergraph from bipartite group / event data
bootstrap_network	Bootstrap a Network Estimate
boot_glasso	Bootstrap for Regularized Partial Correlation Networks
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)

-- C --

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
coefs.default	Tidy coefficients from a fitted mlvar model
coefs.net_mlvar	Tidy coefficients from a fitted mlvar model
compare_mmm	Compare MMM fits across different k
compare_model	Compare two networks descriptively
compare_model.cograph_network	Compare two networks descriptively
compare_model.matrix	Compare two networks descriptively
compare_model.netobject	Compare two networks descriptively
compare_model.netobject_group	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
composites.mcml_pc	Cluster Scores From a Psychometric MCML Fit
convert_sequence_format	Convert Sequence Data to Different Formats
cooccurrence	Build a Co-occurrence Network

-- D --

distribution_plot

State Distribution Plot Over Time

-- E --

edge_differences	Tables of a network comparison
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

-- F --

frequencies

Build a Transition Frequency Matrix

-- G --

get_estimator	Retrieve a Registered Estimator
global_differences	Tables of a network comparison
group_regulation_long	Group Regulation in Collaborative Learning (Long Format)

-- H --

human_long	Human-AI Vibe Coding Interaction Data (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

-- I --

item_loadings	Item Diagnostics From a Psychometric MCML Fit
item_loadings.mcml_pc	Item Diagnostics From a Psychometric MCML Fit

-- L --

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

-- M --

macro_network	Cluster-Level Network, With One Cluster Expanded
magnitude_difference	Magnitude difference between the frequency and probability views
markov_order_test	Test the Markov order of a sequential process
markov_stability	Markov Stability Analysis
mark_first_state	Mark leading-NA cells with an explicit state label
mark_terminal_state	Mark terminal-NA cells with an explicit state label
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
mosaic_plot.default	Mosaic Plot of a Network's Transition or Co-occurrence Counts
mosaic_plot.htna	Mosaic Plot of a Network's Transition or Co-occurrence Counts
mosaic_plot.matrix	Mosaic Plot of a Network's Transition or Co-occurrence Counts
mosaic_plot.mcml	Mosaic Plot of a Network's Transition or Co-occurrence Counts
mosaic_plot.netobject	Mosaic Plot of a Network's Transition or Co-occurrence Counts
mosaic_plot.netobject_group	Mosaic Plot of a Network's Transition or Co-occurrence Counts
mosaic_plot.table	Mosaic Plot of a Network's Transition or Co-occurrence Counts

-- N --

nct	Network Comparison Test
network_metrics	Tables of a network comparison
network_reliability	Split-Half Reliability for Network Estimates
net_aggregate_weights	Aggregate Edge Weights
net_centrality	Compute Centrality Measures for a Network
net_deprune	Undo Network Pruning
net_deprune.default	Undo Network Pruning
net_deprune.netobject	Undo Network Pruning
net_deprune.netobject_group	Undo Network Pruning
net_edge_betweenness	Edge Betweenness Network
net_edge_betweenness.default	Edge Betweenness Network
net_edge_betweenness.netobject	Edge Betweenness Network
net_edge_betweenness.netobject_group	Edge Betweenness Network
net_prune	Prune a Network's Edges
net_prune.default	Prune a Network's Edges
net_prune.netobject	Prune a Network's Edges
net_prune.netobject_group	Prune a Network's Edges
net_pruning_details	Report Network Pruning Details
net_pruning_details.default	Report Network Pruning Details
net_pruning_details.netobject	Report Network Pruning Details
net_pruning_details.netobject_group	Report Network Pruning Details
net_reprune	Re-apply Network Pruning
net_reprune.default	Re-apply Network Pruning
net_reprune.netobject	Re-apply Network Pruning
net_reprune.netobject_group	Re-apply Network Pruning
node_differences	Tables of a network comparison

-- O --

outcome_model

Model Unit-Level Outcomes from Sequence or Network Predictors

-- P --

passage_time	Mean First Passage Times
pathways	Extract Pathways from Higher-Order Network Objects
pathways.netobject	Extract Pathways from Higher-Order Network Objects
pathways.net_association_rules	Extract Pathways from Higher-Order Network Objects
pathways.net_hon	Extract Pathways from Higher-Order Network Objects
pathways.net_hypa	Extract Pathways from Higher-Order Network Objects
pathways.net_link_prediction	Extract Pathways from Higher-Order Network Objects
pathways.net_mogen	Extract Pathways from Higher-Order Network Objects
path_counts	Count Path Frequencies in Trajectory Data
path_dependence	Per-Context Path Dependence at Order k
permutation	Permutation Test for Network Comparison
permutation_diagnostics	Does Nesting Bias a Permutation Test?
persistence_landscape	Persistence Landscape
persistent_homology	Persistent Homology
plot.boot_glasso	Bootstrap for Regularized Partial Correlation Networks
plot.chain_structure	Qualitative structure of a discrete-time Markov chain
plot.cluster_choice	Cluster Choice - sweep k, dissimilarity and method
plot.magnitude_difference	Magnitude difference between the frequency and probability views
plot.mcml_pc	Multi-Cluster Multi-Level Aggregation for Psychometric Networks
plot.mmm_compare	Compare MMM fits across different k
plot.mosaic_analysis	Two-variable mosaic analysis (chi-square test + flat mosaic)
plot.net_association_rules	Discover Association Rules from Sequential or Transaction Data
plot.net_bayes	Bayesian Dirichlet-Multinomial comparison of two transition networks
plot.net_casedrop_reliability	Edge-weight Case-dropping Stability
plot.net_casedrop_reliability_group	Edge-weight Case-dropping Stability
plot.net_centrality	Compute Centrality Measures for a Network
plot.net_centrality_group	Compute Centrality Measures for a Network
plot.net_clustering	Cluster Sequences by Dissimilarity
plot.net_cluster_diagnostics	Cluster Diagnostics
plot.net_comparison	Compare two networks descriptively
plot.net_edge_betweenness	Edge Betweenness Network
plot.net_entropy_bayes	Bayesian Transition Entropy
plot.net_entropy_trajectory	Sliding-Window Transition Entropy Trajectory
plot.net_honem	Build HONEM Embeddings for Higher-Order Networks
plot.net_hypergraph_cluster	Spectral clustering of hypergraph vertices
plot.net_hypergraph_transduction	Transductive label spreading on a hypergraph
plot.net_markov_order	Test the Markov order of a sequential process
plot.net_markov_stability	Markov Stability Analysis
plot.net_mmm	Fit a Mixed Markov Model
plot.net_mmm_clustering	Fit a Mixed Markov Model
plot.net_mogen	Build Multi-Order Generative Model (MOGen)
plot.net_mpt	Mean First Passage Times
plot.net_network_comparison	Compare two or more networks
plot.net_outcome_model	Model Unit-Level Outcomes from Sequence or Network Predictors
plot.net_path_dependence	Per-Context Path Dependence at Order k
plot.net_reliability	Split-Half Reliability for Network Estimates
plot.net_sequence_comparison	Compare Subsequence Patterns Between Groups
plot.net_stability	Centrality Stability Coefficient (CS-coefficient)
plot.net_transition_entropy	Transition Entropy of a Markov Chain
plot.net_vertex_bootstrap	Vertex Bootstrap for Network-Level Statistics
plot.net_vertex_comparison	Compare Network-Level Statistics of Two Networks
plot.pc_loading_stability	Composite-Weight Stability Under Case Resampling
plot.persistence_landscape	Persistence Landscape
plot.persistent_homology	Persistent Homology
plot.q_analysis	Q-Analysis
plot.simplicial_complex	Build a Simplicial Complex
plot.state_freq	Plot State Frequency Distributions
plot_mosaic	Draw a Marimekko / Mosaic Plot from a Tidy Data Frame
plot_state_frequencies	Plot State Frequency Distributions
plot_state_frequencies.default	Plot State Frequency Distributions
plot_state_frequencies.htna	Plot State Frequency Distributions
plot_state_frequencies.mcml	Plot State Frequency Distributions
plot_state_frequencies.netobject	Plot State Frequency Distributions
plot_state_frequencies.netobject_group	Plot State Frequency Distributions
predictability	Compute Node Predictability
predictability.netobject	Compute Node Predictability
predictability.netobject_group	Compute Node Predictability
predictability.netobject_ml	Compute Node Predictability
predict_links	Predict Missing or Future Links in a Network
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
print.boot_glasso	Bootstrap for Regularized Partial Correlation Networks
print.chain_structure	Qualitative structure of a discrete-time Markov chain
print.chain_structure_group	Qualitative structure of a discrete-time Markov chain
print.cluster_choice	Cluster Choice - sweep k, dissimilarity and method
print.hypergraph_measures	Structural measures for a hypergraph
print.magnitude_difference	Magnitude difference between the frequency and probability views
print.mcml	Build MCML from Raw Transition Data
print.mcml_layer	Build MCML from Raw Transition Data
print.mcml_pc	Multi-Cluster Multi-Level Aggregation for Psychometric Networks
print.mcml_sequence_plot	Sequence Plot (heatmap, index, or distribution)
print.mmm_compare	Compare MMM fits across different k
print.mosaic_analysis	Two-variable mosaic analysis (chi-square test + flat mosaic)
print.nestimate_data	Prepare Event Log Data for Network Estimation
print.nestimate_facet_list	Plot State Frequency Distributions
print.nestimate_facet_plot	Plot State Frequency Distributions
print.netdifference	Subtract one network from another
print.netobject	Build a Network
print.netobject_group	Build a Network
print.netobject_ml	Build a Network
print.net_association_rules	Discover Association Rules from Sequential or Transaction Data
print.net_bayes	Bayesian Dirichlet-Multinomial comparison of two transition networks
print.net_bayes_group	Bayesian Dirichlet-Multinomial comparison of two transition networks
print.net_bootstrap	Bootstrap a Network Estimate
print.net_bootstrap_group	Bootstrap a Network Estimate
print.net_casedrop_reliability	Edge-weight Case-dropping Stability
print.net_casedrop_reliability_group	Edge-weight Case-dropping Stability
print.net_certainty	Analytic certainty of network edges (Bayesian Dirichlet-Multinomial)
print.net_clustering	Cluster Sequences by Dissimilarity
print.net_cluster_diagnostics	Cluster Diagnostics
print.net_comparison	Compare two networks descriptively
print.net_entropy_bayes	Bayesian Transition Entropy
print.net_entropy_bayes_group	Bayesian Transition Entropy
print.net_entropy_trajectory	Sliding-Window Transition Entropy Trajectory
print.net_hon	Build a Higher-Order Network (HON)
print.net_honem	Build HONEM Embeddings for Higher-Order Networks
print.net_hypa	Detect Path Anomalies via HYPA
print.net_hypergraph	Higher-order hypergraph from a network's clique structure
print.net_hypergraph_cluster	Spectral clustering of hypergraph vertices
print.net_hypergraph_transduction	Transductive label spreading on a hypergraph
print.net_link_prediction	Predict Missing or Future Links in a Network
print.net_markov_order	Test the Markov order of a sequential process
print.net_markov_order_group	Test the Markov order of a sequential process
print.net_markov_stability	Markov Stability Analysis
print.net_markov_stability_group	Markov Stability Analysis
print.net_mlvar	Build a Multilevel Vector Autoregression (mlVAR) network
print.net_mmm	Fit a Mixed Markov Model
print.net_mmm_clustering	Fit a Mixed Markov Model
print.net_mogen	Build Multi-Order Generative Model (MOGen)
print.net_mpt	Mean First Passage Times
print.net_mpt_group	Mean First Passage Times
print.net_nct	Network Comparison Test
print.net_network_comparison	Compare two or more networks
print.net_outcome_model	Model Unit-Level Outcomes from Sequence or Network Predictors
print.net_path_dependence	Per-Context Path Dependence at Order k
print.net_permutation	Permutation Test for Network Comparison
print.net_permutation_group	Permutation Test for Network Comparison
print.net_pruning_details	Report Network Pruning Details
print.net_reliability	Split-Half Reliability for Network Estimates
print.net_sequence_comparison	Compare Subsequence Patterns Between Groups
print.net_stability	Centrality Stability Coefficient (CS-coefficient)
print.net_stability_group	Centrality Stability Coefficient (CS-coefficient)
print.net_table	Tables of a network comparison
print.net_transition_entropy	Transition Entropy of a Markov Chain
print.net_transition_entropy_group	Transition Entropy of a Markov Chain
print.net_vertex_bootstrap	Vertex Bootstrap for Network-Level Statistics
print.net_vertex_comparison	Compare Network-Level Statistics of Two Networks
print.pc_loading_stability	Composite-Weight Stability Under Case Resampling
print.persistence_landscape	Persistence Landscape
print.persistent_homology	Persistent Homology
print.q_analysis	Q-Analysis
print.simplicial_complex	Build a Simplicial Complex
print.state_freq	Plot State Frequency Distributions
print.summary.netobject	Build a Network
print.summary.netobject_group	Build a Network
print.summary.net_casedrop_reliability_group	Edge-weight Case-dropping Stability
print.summary.net_mpt	Mean First Passage Times
print.summary.net_path_dependence	Per-Context Path Dependence at Order k
print.summary.net_transition_entropy	Transition Entropy of a Markov Chain
print.summary_chain_structure	Qualitative structure of a discrete-time Markov chain
print.tidy_covariates	Cluster Sequences by Dissimilarity
print.wtna_boot_mixed	Bootstrap a Network Estimate
print.wtna_mixed	Window-based Transition Network Analysis
print.wtna_perm_mixed	Permutation Test for Network Comparison

-- Q --

q_analysis

Q-Analysis

-- R --

register_estimator	Register a Network Estimator
remove_estimator	Remove a Registered Estimator
rename_models	Rename the models of a 'netobject_group'
rename_models.default	Rename the models of a 'netobject_group'
rename_models.netobject_group	Rename the models of a 'netobject_group'

-- S --

sequence_compare	Compare Subsequence Patterns Between Groups
sequence_plot	Sequence Plot (heatmap, index, or distribution)
session_ids	The session behind each sequence
session_ids.default	The session behind each sequence
session_ids.netobject	The session behind each sequence
session_ids.net_clustering	The session behind each sequence
session_ids.net_mmm	The session behind each sequence
set_state_colors	Set the state colours carried by a network object
set_state_colors.default	Set the state colours carried by a network object
set_state_colors.htna	Set the state colours carried by a network object
set_state_colors.mcml	Set the state colours carried by a network object
set_state_colors.netobject	Set the state colours carried by a network object
set_state_colors.netobject_group	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_colors.default	The state colours an object will draw with
state_colors.htna	The state colours an object will draw with
state_colors.mcml	The state colours an object will draw with
state_colors.netobject	The state colours an object will draw with
state_colors.netobject_group	The state colours an object will draw with
state_colors<-	Set the state colours carried by a network object
state_distribution	Per-Class State Distribution as a Tidy Data Frame
state_distribution.default	Per-Class State Distribution as a Tidy Data Frame
state_distribution.htna	Per-Class State Distribution as a Tidy Data Frame
state_distribution.mcml	Per-Class State Distribution as a Tidy Data Frame
state_distribution.netobject	Per-Class State Distribution as a Tidy Data Frame
state_distribution.netobject_group	Per-Class State Distribution as a Tidy Data Frame
state_freq	Plot State Frequency Distributions
state_frequencies	Compute State Frequencies from Trajectory Data
subtract_networks	Subtract one network from another
summary.boot_glasso	Bootstrap for Regularized Partial Correlation Networks
summary.chain_structure	Qualitative structure of a discrete-time Markov chain
summary.chain_structure_group	Qualitative structure of a discrete-time Markov chain
summary.cluster_choice	Cluster Choice - sweep k, dissimilarity and method
summary.mcml	Build MCML from Raw Transition Data
summary.mcml_pc	Multi-Cluster Multi-Level Aggregation for Psychometric Networks
summary.mmm_compare	Compare MMM fits across different k
summary.mosaic_analysis	Two-variable mosaic analysis (chi-square test + flat mosaic)
summary.nest_initial_probs	Extract Initial Probabilities from Model
summary.nest_transition_counts	Build a Transition Frequency Matrix
summary.nest_transition_matrix	Extract Transition Matrix from Model
summary.netobject	Build a Network
summary.netobject_group	Build a Network
summary.net_association_rules	Discover Association Rules from Sequential or Transaction Data
summary.net_bayes	Bayesian Dirichlet-Multinomial comparison of two transition networks
summary.net_bayes_group	Bayesian Dirichlet-Multinomial comparison of two transition networks
summary.net_bootstrap	Bootstrap a Network Estimate
summary.net_bootstrap_group	Bootstrap a Network Estimate
summary.net_casedrop_reliability	Edge-weight Case-dropping Stability
summary.net_casedrop_reliability_group	Edge-weight Case-dropping Stability
summary.net_clustering	Cluster Sequences by Dissimilarity
summary.net_entropy_bayes	Bayesian Transition Entropy
summary.net_entropy_trajectory	Sliding-Window Transition Entropy Trajectory
summary.net_hon	Build a Higher-Order Network (HON)
summary.net_honem	Build HONEM Embeddings for Higher-Order Networks
summary.net_hypa	Detect Path Anomalies via HYPA
summary.net_hypergraph	Higher-order hypergraph from a network's clique structure
summary.net_hypergraph_cluster	Spectral clustering of hypergraph vertices
summary.net_hypergraph_transduction	Transductive label spreading on a hypergraph
summary.net_link_prediction	Predict Missing or Future Links in a Network
summary.net_markov_order	Test the Markov order of a sequential process
summary.net_markov_stability	Markov Stability Analysis
summary.net_mlvar	Build a Multilevel Vector Autoregression (mlVAR) network
summary.net_mmm	Fit a Mixed Markov Model
summary.net_mogen	Build Multi-Order Generative Model (MOGen)
summary.net_mpt	Mean First Passage Times
summary.net_nct	Network Comparison Test
summary.net_network_comparison	Tables of a network comparison
summary.net_outcome_model	Model Unit-Level Outcomes from Sequence or Network Predictors
summary.net_path_dependence	Per-Context Path Dependence at Order k
summary.net_permutation	Permutation Test for Network Comparison
summary.net_permutation_group	Permutation Test for Network Comparison
summary.net_reliability	Split-Half Reliability for Network Estimates
summary.net_sequence_comparison	Compare Subsequence Patterns Between Groups
summary.net_stability	Centrality Stability Coefficient (CS-coefficient)
summary.net_stability_group	Centrality Stability Coefficient (CS-coefficient)
summary.net_transition_entropy	Transition Entropy of a Markov Chain
summary.net_vertex_bootstrap	Vertex Bootstrap for Network-Level Statistics
summary.net_vertex_comparison	Compare Network-Level Statistics of Two Networks
summary.wtna_boot_mixed	Bootstrap a Network Estimate
summary.wtna_perm_mixed	Permutation Test for Network Comparison

-- T --

trajectories	Student Engagement Trajectories
transition_entropy	Transition Entropy of a Markov Chain

-- V --

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

-- W --

wide_to_long	Convert Wide Sequences to Long Format
wtna	Window-based Transition Network Analysis