Man pages for davidavdav/ROC
Compute structures to compute ROC and DET plots and metrics for 2-class classifiers.
| ape.plot | Function to make a Applied Probability of Error plot |
| as.cst | Create a data frame from a Collection of Supervised Trials... |
| cond.table | Compute a contingency table from an sre object |
| ddensity | Double probability density computation and plotting |
| det.sre | Compute Detection Error Tradeoff statistics from SRE opbject |
| eer | Compute the equal error rate given false positive and false... |
| legend.det | Add a legnd to a DET plot |
| llr.plot | Score-to-Log-Likelihood-Ratio plot |
| logit | Logistic function and sigmoid function |
| plot.cond | Plot several DET plots from a single trial list, analyzed per... |
| plot.det | Make a Detection Error Trade-off plot |
| read.sre | Function to read in an SRE data structure from file |
| roc | Compute Receiver Operating Characteristic statistics from a... |
| ROC-package | Compute performance measures for two-class classifiers for... |
| roc.plot | Make a Receiver Operating Characteristic plot |
| setDCF | These functions allows to specify the Decision Cost Function... |
| srekey | Data known about existing SREs |
| summary.roc | This function prints summary information about a DET analysis |
| tippet.plot | Draw a Tippet plot for a forensic comparison system |
| train.logreg | Train calibration of probabilistic classifier |
