|Convert a curves and points object to a data frame
|Retrieve a data frame of AUC scores
|Calculate CIs of ROC and precision-recall AUCs
|Plot performance evaluation measures with ggplot2
|Balanced data with 1000 positives and 1000 negatives.
|Balanced data with 500 positives and 500 negatives.
|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...
|Imbalanced data with 1000 positives and 10000 negatives.
|Imbalanced data with 500 positives and 5000 negatives.
|Join observed labels of multiple test datasets into a list
|Join scores of multiple models into a list
|5-fold cross validation sample.
|Reformat input data for performance evaluation calculation
|A small example dataset with several tied scores.
|Calculate partial AUCs
|Retrieve a data frame of pAUC scores
|Plot performance evaluation measures
|precrec: A package for computing accurate ROC and...
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