This is the auxiliary function of the HUM package. It computes a point coordinates for plotting ROC curve and returns a “List” object, consisting of sensitivity and specificity values for 2D-ROC curve and 3D-points for 3D-ROC curve, the optimal threshold values with the corresponding feature values and the accuracy of the classifier (feature).
This is the main function of the HUM package. It plots the 3D-ROC curve using the point coordinates, computed by the function CalculateHUM_ROC. Optionally visualizes the optimal threshold point, which gives the maximal accuracy of the classifier(feature) (see CalcROC).
This is the main function of the HUM package. It computes a HUM value and returns a “List” object, consisting of HUM value and the best permutation of class labels in “seq” vector. This “seq” vector can be passed to the function CalculateHUM_ROC.
This is the main function of the HUM package. It computes a HUM value and returns a “List” object, consisting of HUM value and the best permutation of class labels in “seq” vector. This “seq” vector can be passed to the function CalculateHUM_ROC.
This is the function of the HUM package for computing th enpoints for ROC curve. It returns a “List” object, consisting of sensitivity and specificity values for 2D-ROC curve and 3D-points for 3D-ROC curve. Also the optimal threshold values are returned.
This is the main function of the HUM package. It plots the 2D-ROC curve using the point coordinates, computed by the function CalculateHUM_ROC.Optionally visualizes the optimal threshold point, which gives the maximal accuracy of the classifier(feature) (see CalcROC).
Functions to calculate AUC (area under curve) value for two classes and HUM (hypervolume under manifold) for more class labels in order to estimate the informativity of features to outcome. Tools for visualizing ROC curve in 2D- and 3D-space.
This is the auxiliary function of the HUM package. It computes a HUM value for individual feature and returns a “List” object, consisting of HUM value and the best permutation of class labels in “seq” vector. This “seq” vector can be passed to the function CalculateHUM_ROC.
providing 
.