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| aggtrees | Classification with Wilma's Clusters |
| back.search | Internal functions for Supervised Grouping |
| coef.pelora | Extract the Model Coefficients of Pelora |
| dlda | Classification with Wilma's Clusters |
| fitted.pelora | Extract the Fitted Values of Pelora |
| fitted.wilma | Extract the Fitted Values of Wilma |
| leukemia | A part of the Golub's famous AML/ALL-leukemia dataset |
| leukemia.x | A part of the Golub's famous AML/ALL-leukemia dataset |
| leukemia.y | A part of the Golub's famous AML/ALL-leukemia dataset |
| leukemia.z | A part of the Golub's famous AML/ALL-leukemia dataset |
| logreg | Classification with Wilma's Clusters |
| margin | Classification Margin Between Two Sample Classes |
| nnr | Classification with Wilma's Clusters |
| p.1clust | Internal functions for Supervised Grouping |
| pelora | Supervised Grouping of Predictor Variables |
| plot.pelora | 2-Dimensional Visualization of Pelora's Output |
| plot.wilma | 2-Dimensional Visualization of Wilma's Output |
| predict.pelora | Predict Method for Pelora |
| predict.wilma | Predict Method for Wilma |
| print.pelora | Print Method for Pelora Objects |
| print.wilma | Print Method for Wilma Objects |
| printClist | Internal functions for Supervised Grouping |
| ridge.coef | Internal functions for Supervised Grouping |
| score | Wilcoxon Score for Binary Problems |
| sign.change | Sign-flipping of Predictor Variables to Obtain Equal Polarity |
| sign.flip | Sign-flipping of Predictor Variables to Obtain Equal Polarity |
| standardize.genes | Standardization of Predictor Variables |
| summary.pelora | Summary Method for Pelora Objects |
| summary.wilma | Summary Method for Wilma Objects |
| wilma | Supervised Clustering of Predictor Variables |