Supervised Clustering of Predictor Variables Such as Genes
Internal functions for Supervised Grouping
Extract the Model Coefficients of Pelora
Classification with Wilma's Clusters
Extract the Fitted Values of Pelora
Extract the Fitted Values of Wilma
Classification Margin Between Two Sample Classes
Supervised Grouping of Predictor Variables
2-Dimensional Visualization of Pelora's Output
2-Dimensional Visualization of Wilma's Output
Predict Method for Pelora
Predict Method for Wilma
Print Method for Pelora Objects
Print Method for Wilma Objects
Wilcoxon Score for Binary Problems
Sign-flipping of Predictor Variables to Obtain Equal Polarity
Sign-flipping of Predictor Variables to Obtain Equal Polarity
Standardization of Predictor Variables
Summary Method for Pelora Objects
Summary Method for Wilma Objects
Supervised Clustering of Predictor Variables
Methodology for supervised grouping aka "clustering" of potentially many predictor variables, such as genes etc, implementing algorithms 'PELORA' and 'WILMA'.