Man pages for pmckeigue/wevid
Weight of evidence for quantifying performance of a binary classifier

auroc.modelCompute area under the ROC curve according to model-based...
clevelandExample dataset based on cross-validated prediction of...
cumfreqsCumulative frequency distribution
error.integralsEvaluate objective function
fsmoothGaussian kernel for density estimation
klKullback-Leibler divergence of p from q
lambda.modelCompute the expected information for discrimination (expected...
means.densitiesMeans of densities in cases and controls
plotcumfreqsPlot the cumulative frequency distributions in cases and in...
plotrocPlot crude and model-based ROC curves
plotWplot log case/control density ratio against weight of...
plotWdistsPlot the distribution of the weight of evidence in cases and...
prop.belowthresholdProportions of cases and controls below a given threshold of...
tobitsConvert from natural log units to bits
Wdensities.fromrawAdjust the crude densities of weights of evidence in cases...
Wdensities.mixCompute smoothed densities for a spike-slab mixture...
Wdensities.unadjustedCalculate the unadjusted smoothed densities of W in cases and...
weightsofevidenceCalculate weights of evidence in natural log units
wevid-packageQuantifying performance of a diagnostic test using the...
wtrue.resultsSummary evaluation of predictive performance
pmckeigue/wevid documentation built on June 7, 2018, 11:15 a.m.