Wdensities.crude: Calculate the crude smoothed densities of W in cases and in...
In wevid: Quantifying Performance of a Binary Classifier Through Weight of Evidence

These functions allow to compute the smoothed densities of the weight of evidence in cases and in controls from the crude probabilities. Wdensities.crude is designed for the general case; if the model probabilities reflect a spike-slab mixture distribution, where a high proportion of values of the predictor are zero, then Wdensities.mix will be more appropriate.

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Wdensities.crude(y, W, xseq, adjust.bw = 1)

Wdensities.mix(y, W, xseq, mixcomponent)

`y`	Binary outcome label (0 for controls, 1 for cases).
`W`	Weight of evidence.
`xseq`	Sequence of points where the curves should be sampled.
`adjust.bw`	Bandwidth adjustment.
`mixcomponent`	integer vector same length as `y`, coded 1 or 2. Typically set by `Wdensities` which calls this function.