R: Constructing Hierarchical Voronoi Tessellations and Overlay Heatmaps for Data Analysis

# Constructing Hierarchical Voronoi Tessellations and Overlay Heatmaps for Data Analysis

## Documentation for package ‘HVT’ version 26.1.3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## 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
plotExAnteRawSeries | Ex-ante raw series forecasting
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