Package index

Core Clustering Functions

Main functions for MONECA clustering analysis

moneca()

MONECA - Mobility Network Clustering Analysis

moneca_fast()

MONECA Fast - Memory-Optimized Mobility Network Clustering Analysis

weight.matrix()

Calculate Relative Risk Weight Matrix

Segment Metadata

Structured segment metadata extraction and labelling

moneca_segments()

Canonical Segment Metadata for MONECA Results

get_segment_label()

Get Segment Label

get_segment_map()

Get Segment Map at a Given Level

get_segment_groups()

Get Segment Groups at a Given Level

get_representative()

Get Representative Node for a Segment

level.matrix()

Extract and Label Hierarchical Mobility Matrix

Segment Analysis

Functions for analyzing and extracting segment information

segment.membership()

Extract Segment Membership Information

segment.membership.dataframe()

Generate Segment Membership Dataframe from MONECA Results

segment.quality()

Evaluate Segment Quality Metrics

segment.colors()

Generate Colors for Segments

segment.edges()

Extract Segment Edge Matrix

vertex.mobility()

Vertex mobility

Log-Linear Models

Log-linear models for mobility table analysis

fit_mobility_model()

Fit Log-Linear Models to Mobility Tables

compare_mobility_models()

Compare Log-Linear Models for Mobility Tables

Directed Analysis

Diagnostics for directional asymmetry within segments

compute_asymmetry_scores()

Compute Asymmetry Scores for MONECA Segments

flag_asymmetric_segments()

Flag Segments Exceeding an Asymmetry Threshold

Auto-Tuning

Automatic parameter optimization

auto_tune_small_cell_reduction()

Enhanced Automatic Small Cell Reduction Parameter Tuning with Multi-Objective Optimization

Modern Visualization

Plotting functions using ggraph

plot_moneca_ggraph()

Modern Network Visualization for MONECA Results

plot_ego_ggraph()

Ego Network Visualization with ggraph

plot_stair_ggraph()

Multi-Level Segmentation Visualization (Stair Plot)

plot_moneca_dendrogram()

Plot MONECA Results as Dendrogram

plot_segment_quality()

Visualize Segment Quality Metrics

Legacy Visualization

Original plotting functions (backward compatibility)

moneca.plot()

Legacy Network Plot for MONECA Results

gg.moneca()

Legacy ggplot2 Visualization for moneca Objects

ego.plot()

Legacy Ego Network Visualization

stair.plot()

Legacy Multi-Level Stair Plot

layout.matrix()

Layout matrix

Data Generation

Functions for generating synthetic mobility data

generate_mobility_data()

Generate Realistic Synthetic Mobility Data

Density Reduction

Functions for matrix density reduction analysis

reduce_density()

Reduce Density of Large Mobility Matrices

plot_scree()

Scree Plot for Component Selection

print(<density_reduced>)

Print Method for density_reduced Objects

Package Information

Package documentation and S3 methods

moneca-package

moneca: Mobility Network Clustering Analysis

print(<moneca>)

Print Method for moneca Objects (Enhanced)

print(<moneca_segments>)

Print Method for moneca_segments Objects

print(<moneca_loglinear>)

Print Method for moneca_loglinear Objects

print(<moneca_model_comparison>)

Print Method for moneca_model_comparison Objects

print(<first_level_summary>)

Print first level summary

print(<moneca_tuning>)

Print Method for MONECA Tuning Results