Man pages for pmckeigue/wevid
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 |
