Calculate Accurate Precision-Recall and ROC (Receiver Operator Characteristics) Curves
Convert a curves and points object to a data frame
Calculate CIs of ROC and precision-recall AUCs
Retrieve a data frame of AUC scores
Plot performance evaluation measures with ggplot2
Create random samples for simulations
Evaluate models and calculate performance evaluation measures
Create n-fold cross validation dataset from data frame
Convert a curves and points object to a data frame for ggplot2
Join observed labels of multiple test datasets into a list
Join scores of multiple models into a list
Reformat input data for performance evaluation calculation
Calculate partial AUCs
Retrieve a data frame of pAUC scores
Plot performance evaluation measures
precrec: A package for computing accurate ROC and Precision-Recall cur...
Accurate calculations and visualization of precision-recall and ROC (Receiver Operator Characteristics) curves. Saito and Rehmsmeier (2015) <doi:10.1371/journal.pone.0118432>.