Weight of evidence for quantifying performance of a binary classifier

auroc.model | Compute area under the ROC curve according to model-based... |

cleveland | Example dataset based on cross-validated prediction of... |

cumfreqs | Cumulative frequency distribution |

error.integrals | Evaluate objective function |

fsmooth | Gaussian kernel for density estimation |

kl | Kullback-Leibler divergence of p from q |

lambda.model | Compute the expected information for discrimination (expected... |

means.densities | Means of densities in cases and controls |

plotcumfreqs | Plot the cumulative frequency distributions in cases and in... |

plotroc | Plot crude and model-based ROC curves |

plotW | plot log case/control density ratio against weight of... |

plotWdists | Plot the distribution of the weight of evidence in cases and... |

prop.belowthreshold | Proportions of cases and controls below a given threshold of... |

tobits | Convert from natural log units to bits |

Wdensities.fromraw | Adjust the crude densities of weights of evidence in cases... |

Wdensities.mix | Compute smoothed densities for a spike-slab mixture... |

Wdensities.unadjusted | Calculate the unadjusted smoothed densities of W in cases and... |

weightsofevidence | Calculate weights of evidence in natural log units |

wevid-package | Quantifying performance of a diagnostic test using the... |

wtrue.results | Summary evaluation of predictive performance |

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