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 |

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