bootFS-package |
Use multiple feature selection algorithms to derive robust feature sets for two class classification problems. |
bootFS |
Use multiple feature selection algorithms to derive robust feature sets for two class classification problems. |
bsPAMR |
Perform PAMR bootstrapping. |
bsRFBORUTA |
Perform RFBORUTA bootstrapping. |
bsSCAD |
Perform SCAD SVM bootstrapping. |
cvPAMR |
Main wrapper to call PAMR crossvalidation. |
cvRFBORUTA |
Crossvalidation for Random Forests with Boruta feature selection. |
cvSCAD |
Crossvalidation for SCAD SVM classification and feature selection. |
doBS |
Perform bootstrapped feature selection with multiple algorithms. |
doCV |
Performance evaluation by crossvalidation for multiple classification algorithms. |
drawheat |
Wrapper for heatmap drawing. |
extractsignatures |
Helper for extracting all feature signatures from a bootstrapping result (single method). |
importance_igraph |
Graphically represent the (co-)occurrences of a set of features, derived in a bootstrapped feature selection. |
makeIG |
Create an importance graph from a bootstrapping result of a single classification method. |
resultBS |
Summarise the results of a bootstrapping analysis. |
simDataSet |
simDataSet - simulation of exemplary dataset |