Package index • TockyRandomForest

All functions

ClusteringFeatureCells(): Cluster Feature Cells

TockyKmeansRF(): Train and Evaluate TockyKmeansRF Model

TockyRFClusterOptimization(): Evaluate ROC Curves with Confidence Intervals and Calculate AUC for TockyKmeansRF

partitionTockyPrepData(): Split a TockyPrepData object into training and testing sets.

plotClusterMFI(): Generate a boxplot of MFI (median fluorescence intensity) for each cluster identified by TockyKmeans. Generate a boxplot of MFI (median fluorescence intensity) for TockyKmeansRF Feature Clusters

plotImportanceScores(): Plot Importance Scores on Test Data

plotTockyKmeansRF(): Plot ROC Curve from TockyKmeansRF Results

violinPlotFeatureCells(): Generate Plots for Analysing Cluster Abundance