Network Estimation, Bootstrap, and Higher-Order Analysis
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Documentation for package ‘Nestimate’ version 0.4.3
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A B C D E G H L M N P Q R S T V W
-- A --
| action_to_onehot | Convert Action Column to One-Hot Encoding |
| ai_long | Human-AI Vibe Coding Interaction Data (Long Format) |
| association_rules | Discover Association Rules from Sequential or Transaction Data |
| as_tna | Convert cluster_summary to tna Objects |
| as_tna.default | Convert cluster_summary to tna Objects |
| as_tna.mcml | Convert cluster_summary to tna Objects |
-- B --
| betti_numbers | Betti Numbers |
| bootstrap_network | Bootstrap a Network Estimate |
| boot_glasso | Bootstrap for Regularized Partial Correlation Networks |
| 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_ising | Build an Ising Network |
| build_mcml | Build MCML from Raw Transition Data |
| 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 --
| centrality_stability | Centrality Stability Coefficient (CS-coefficient) |
| chatgpt_srl | ChatGPT Self-Regulated Learning Scale Scores |
| 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 |
| convert_sequence_format | Convert Sequence Data to Different Formats |
| cooccurrence | Build a Co-occurrence Network |
-- D --
| distribution_plot | State Distribution Plot Over Time |
-- E --
| 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_transition_matrix | Extract Transition Matrix from Model |
-- G --
| get_estimator | Retrieve a Registered Estimator |
| group_regulation_long | Group Regulation in Collaborative Learning (Long Format) |
-- H --
| human_long | Human-AI Vibe Coding Interaction Data (Long Format) |
-- L --
| learning_activities | Online Learning Activity Indicators |
| list_estimators | List All Registered Estimators |
| long-data | Human-AI Vibe Coding Interaction Data (Long Format) |
| long_to_wide | Convert Long Format to Wide Sequences |
-- M --
| markov_stability | Markov Stability Analysis |
| mogen_transitions | Extract Transition Table from a MOGen Model |
-- N --
| nct | Network Comparison Test |
| network_reliability | Split-Half Reliability for Network Estimates |
| net_aggregate_weights | Aggregate Edge Weights |
| net_centrality | Compute Centrality Measures for a Network |
-- 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 |
| permutation | Permutation Test for Network Comparison |
| persistent_homology | Persistent Homology |
| plot.boot_glasso | Plot Method for boot_glasso |
| plot.mcml | Plot Method for mcml |
| plot.mmm_compare | Plot Method for mmm_compare |
| plot.net_association_rules | Plot Method for net_association_rules |
| plot.net_clustering | Plot Sequence Clustering Results |
| plot.net_gimme | Plot Method for net_gimme |
| plot.net_honem | Plot Method for net_honem |
| plot.net_link_prediction | Plot Method for net_link_prediction |
| plot.net_markov_stability | Markov Stability Analysis |
| plot.net_mmm | Plot Method for net_mmm |
| plot.net_mogen | Plot Method for net_mogen |
| plot.net_mpt | Mean First Passage Times |
| plot.net_reliability | Plot Method for net_reliability |
| plot.net_sequence_comparison | Plot Method for net_sequence_comparison |
| plot.net_stability | Plot Method for net_stability |
| plot.persistent_homology | Plot Persistent Homology |
| plot.q_analysis | Plot Q-Analysis |
| plot.simplicial_complex | Plot a Simplicial Complex |
| 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 | Print Method for boot_glasso |
| print.mcml | Print Method for mcml |
| print.mmm_compare | Print Method for mmm_compare |
| print.nestimate_data | Print Method for nestimate_data |
| print.netobject | Print Method for Network Object |
| print.netobject_group | Print Method for Group Network Object |
| print.netobject_ml | Print Method for Multilevel Network Object |
| print.net_association_rules | Print Method for net_association_rules |
| print.net_bootstrap | Print Method for net_bootstrap |
| print.net_bootstrap_group | Print Method for net_bootstrap_group |
| print.net_clustering | Print Method for net_clustering |
| print.net_gimme | Print Method for net_gimme |
| print.net_hon | Print Method for net_hon |
| print.net_honem | Print Method for net_honem |
| print.net_hypa | Print Method for net_hypa |
| print.net_link_prediction | Print Method for net_link_prediction |
| print.net_mlvar | Print method for net_mlvar |
| print.net_mmm | Print Method for net_mmm |
| print.net_mogen | Print Method for net_mogen |
| print.net_nct | Print Method for net_nct |
| print.net_permutation | Print Method for net_permutation |
| print.net_permutation_group | Print Method for net_permutation_group |
| print.net_reliability | Print Method for net_reliability |
| print.net_sequence_comparison | Print Method for net_sequence_comparison |
| print.net_stability | Print Method for net_stability |
| print.persistent_homology | Print persistent homology results |
| print.q_analysis | Print Q-analysis results |
| print.simplicial_complex | Print a simplicial complex |
| print.wtna_boot_mixed | Print Method for wtna_boot_mixed |
| print.wtna_mixed | Print Method for wtna_mixed |
-- Q --
| q_analysis | Q-Analysis |
-- R --
| register_estimator | Register a Network Estimator |
| remove_estimator | Remove a Registered Estimator |
-- S --
| sequence_compare | Compare Subsequence Patterns Between Groups |
| sequence_plot | Sequence Plot (heatmap, index, or distribution) |
| simplicial_degree | Simplicial Degree |
| srl_strategies | Self-Regulated Learning Strategy Frequencies |
| state_frequencies | Compute State Frequencies from Trajectory Data |
| summary.boot_glasso | Summary Method for boot_glasso |
| summary.mcml | Summary Method for mcml |
| summary.net_association_rules | Summary Method for net_association_rules |
| summary.net_bootstrap | Summary Method for net_bootstrap |
| summary.net_bootstrap_group | Summary Method for net_bootstrap_group |
| summary.net_clustering | Summary Method for net_clustering |
| summary.net_gimme | Summary Method for net_gimme |
| summary.net_hon | Summary Method for net_hon |
| summary.net_honem | Summary Method for net_honem |
| summary.net_hypa | Summary Method for net_hypa |
| summary.net_link_prediction | Summary Method for net_link_prediction |
| summary.net_mlvar | Summary method for net_mlvar |
| summary.net_mmm | Summary Method for net_mmm |
| summary.net_mogen | Summary Method for net_mogen |
| summary.net_mpt | Mean First Passage Times |
| summary.net_permutation | Summary Method for net_permutation |
| summary.net_permutation_group | Summary Method for net_permutation_group |
| summary.net_sequence_comparison | Summary Method for net_sequence_comparison |
| summary.net_stability | Summary Method for net_stability |
| summary.wtna_boot_mixed | Summary Method for wtna_boot_mixed |
-- T --
| trajectories | Student Engagement Trajectories |
-- V --
| verify_simplicial | Verify Simplicial Complex Against igraph |
-- W --
| wide_to_long | Convert Wide Sequences to Long Format |
| wtna | Window-based Transition Network Analysis |