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TODO list
Xavier Robin edited this page Jan 21, 2014
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- Input: grouped data (table)
- Comparison of 1 ROC curve (against the diagonal)
- Implement 'mean' function to average ROC curves (Fawcett, section 8, algos 3 & 4)
- pAUC with DeLong
- ci.auc delong: with qgumbel to compute interval bounds rather than qnorm
- update.roc function to modify a parameter (response, predictor, formula, … ?) of a roc curve
- X plot (sensitivity and specificity as a function of the threshold)
- Matthews correlation coefficient in coords.
- Multiclass ROC curve:
- CI for Multi-class AUC
- Multiclass ROC (VUS)
- Multireader, multicase ROC analysis (see for instance this paper)
- Time dependent AUC (the survAUC CRAN package already provides a basic implementation)
If you would like a new feature to be added to the list, please open a new issue