R: Supervised Clustering of Predictor Variables Such as Genes

# Supervised Clustering of Predictor Variables Such as Genes

## Documentation for package ‘supclust’ version 1.1-1

- DESCRIPTION file
- Package README

## Help Pages

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