Constructing Hierarchical Voronoi Tessellations and Overlay Heatmaps for Data Analysis


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Documentation for package ‘HVT’ version 25.2.7

Help Pages

clustHVT Performing Hierarchical Clustering Analysis
displayTable function for displaying table
edaPlots plots for data analysis
getTransitionProbability Creating Transition Probability Matrix
HVTMSMoptimization HVT-MSM Optimization Function
msm Performing Monte Carlo Simulations of Markov Chain
OptimizationResults Table display of all combinations performed in 'HVTMSMoptimization'
plotAnimatedFlowmap Generating flow maps and animations based on transition probabilities
plotHVT Plot the hierarchical tessellations.
plotModelDiagnostics Make the diagnostic plots for hierarchical voronoi tessellations
plotMsmKN plotting MAE across Number of cells
plotNovelCells Plot the identified outlier cells in the voronoi tessellation map.
plotQuantErrorHistogram Make the quantization error plots for training and scoring.
plotStateTransition Creating State Transition Plot
plotZscore Plots of z scores
reconcileTransitionProbability Reconciliation of Transition Probability
removeNovelty Remove identified novelty cell(s)
scoreHVT Score which cell each point in the test dataset belongs to.
scoreLayeredHVT Score which cell and what layer each data point in the test dataset belongs to
summary Table for displaying summary
trainHVT Constructing Hierarchical Voronoi Tessellations