Package index • MultiK

Core Functions

Main functions for consensus clustering analysis

MultiK(): MultiK: Determine optimal cluster numbers via consensus clustering

getClusters(): Extract cluster assignments for specified K values

Statistical Validation

Functions for cluster significance testing

CalcSigClust(): Pairwise SigClust tests between clusters

Visualization

Diagnostic and result visualization

DiagMultiKPlot(): Diagnostic plots for optimal K selection

PlotSigClust(): Visualize SigClust results with dendrogram and heatmap

Data

Example datasets

p3cl: Three Cell Line Mixture Dataset

Internal

Internal helper functions (not for direct use)

CalcSigClust(): Pairwise SigClust tests between clusters

DiagMultiKPlot(): Diagnostic plots for optimal K selection

MultiK(): MultiK: Determine optimal cluster numbers via consensus clustering

PlotSigClust(): Visualize SigClust results with dendrogram and heatmap

getClusters(): Extract cluster assignments for specified K values

p3cl: Three Cell Line Mixture Dataset