Package index • Nestimate

Network Estimation

Core functions for building networks from data

build_network(): Build a Network
estimate_network(): Estimate a Network (Deprecated)
register_estimator(): Register a Network Estimator
get_estimator(): Retrieve a Registered Estimator
list_estimators(): List All Registered Estimators
remove_estimator(): Remove a Registered Estimator
wtna(): Window-based Transition Network Analysis

Higher-Order Networks

Methods for capturing higher-order dependencies

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_mogen(): Build Multi-Order Generative Model (MOGen)
pathways(): Extract Pathways from Higher-Order Network Objects
mogen_transitions(): Extract Transition Table from a MOGen Model
path_counts(): Count Path Frequencies in Trajectory Data

Bootstrap & Inference

Statistical inference for network estimation

bootstrap_network(): Bootstrap a Network Estimate
boot_glasso(): Bootstrap for Regularized Partial Correlation Networks
permutation_test(): Permutation Test for Network Comparison

Reliability & Stability

Assess reliability and stability of network estimates

reliability(): Split-Half Reliability for Network Estimates
centrality_stability(): Centrality Stability Coefficient (CS-coefficient)

Clustering & Grouping

Cluster-based and multilevel network analysis

cluster_data() cluster_sequences(): Cluster Sequences by Dissimilarity
cluster_summary() csum(): Cluster Summary Statistics
cluster_mmm(): Cluster sequences using Mixed Markov Models
cluster_network(): Cluster data and build per-cluster networks in one step
build_mcml(): Build MCML from Raw Transition Data
build_mmm(): Fit a Mixed Markov Model
compare_mmm(): Compare MMM fits across different k

Simplicial Complex Analysis

Topological analysis of networks

build_simplicial(): Build a Simplicial Complex
persistent_homology(): Persistent Homology
q_analysis(): Q-Analysis
betti_numbers(): Betti Numbers
euler_characteristic(): Euler Characteristic
simplicial_degree(): Simplicial Degree
verify_simplicial(): Verify Simplicial Complex Against igraph

Data Preparation

Convert and prepare data for network estimation

prepare_data(): Prepare Event Log Data for Network Estimation
prepare_for_tna(): Prepare Data for TNA Analysis
action_to_onehot(): Convert Action Column to One-Hot Encoding
prepare_onehot(): Import One-Hot Encoded Data into Sequence Format
wide_to_long(): Convert Wide Sequences to Long Format
long_to_wide(): Convert Long Format to Wide Sequences
convert_sequence_format(): Convert Sequence Data to Different Formats

Utilities

Helper functions and extractors

predictability(): Compute Node Predictability
frequencies(): Sequence Data Conversion Functions
state_frequencies(): Compute State Frequencies from Trajectory Data
aggregate_weights() wagg(): Aggregate Edge Weights
centrality(): Compute Centrality Measures for a Network
as_tna(): Convert cluster_summary to tna Objects
extract_edges(): Extract Edge List with Weights
extract_initial_probs(): Extract Initial Probabilities from Model
extract_transition_matrix(): Extract Transition Matrix from Model

Other Methods

Additional network estimation approaches

build_gimme(): GIMME: Group Iterative Multiple Model Estimation

Data

Example datasets

human_ai human_ai_cat human_ai_super human_detailed human_cat human_super ai_detailed ai_cat ai_super human_wide ai_wide: Human-AI Vibe Coding Interaction Data
human_ai_edges: Human-AI Vibe Coding Edge List
srl_strategies: Self-Regulated Learning Strategy Frequencies
learning_activities: Online Learning Activity Indicators
group_regulation_long: Group Regulation in Collaborative Learning (Long Format)

S3 Methods

Print, summary, and plot methods for package classes

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(<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_mmm>): Print Method for net_mmm
print(<net_mogen>): Print Method for net_mogen
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_stability>): Print Method for net_stability
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(<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
summary(<boot_glasso>): Summary Method for boot_glasso
summary(<mcml>): Summary Method for mcml
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_mmm>): Summary Method for net_mmm
summary(<net_mogen>): Summary Method for net_mogen
summary(<net_permutation>): Summary Method for net_permutation
summary(<net_permutation_group>): Summary Method for net_permutation_group
summary(<net_stability>): Summary Method for net_stability
summary(<wtna_boot_mixed>): Summary Method for wtna_boot_mixed
plot(<boot_glasso>): Plot Method for boot_glasso
plot(<mcml>): Plot Method for mcml
plot(<mmm_compare>): Plot Method for mmm_compare
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_mmm>): Plot Method for net_mmm
plot(<net_mogen>): Plot Method for net_mogen
plot(<net_reliability>): Plot Method for net_reliability
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