Wdensities.fromraw      Adjust the crude densities of weights of
                        evidence in cases and controls to make them
                        mathematically consistent
Wdensities.mix          Compute smoothed densities for a spike-slab
                        mixture distribution
Wdensities.unadjusted   Calculate the unadjusted smoothed densities of
                        W in cases and in controls
auroc.model             Compute area under the ROC curve according to
                        model-based densities
cleveland               Example dataset based on cross-validated
                        prediction of outcome in the Cleveland Heart
                        Study
lambda.model            Compute the expected information for
                        discrimination (expected weight of evidence)
                        from the model-based densities
means.densities         Means of densities in cases and controls
plotW                   plot log case/control density ratio against
                        weight of evidence as a check that the
                        densities are mathematically consistent
plotWdists              Plot the distribution of the weight of evidence
                        in cases and in controls
plotcumfreqs            Plot the cumulative frequency distributions in
                        cases and in controls
plotroc                 Plot crude and model-based ROC curves
prop.belowthreshold     Proportions of cases and controls below a given
                        threshold of W (natural logs)
weightsofevidence       Calculate weights of evidence in natural log
                        units
wevid-package           Quantifying performance of a diagnostic test
                        using the sampling distribution of the weight
                        of evidence favouring case over noncase status
wtrue.results           Summary evaluation of predictive performance
