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 |