Wdensities.crude

Wdensities.mix

Binary outcome label (0 for controls, 1 for cases).

Sequence of points where the curves should be sampled.

xseq

adjust.bw

integer vector same length as <code>y</code>, coded 1 or 2.
Typically set by <code>Wdensities</code> which calls this function.

mixcomponent

These functions allow to compute the smoothed densities of the weight of
evidence in cases and in controls from the crude probabilities.
<code>Wdensities.crude</code> 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 <code>Wdensities.mix</code>
will be more appropriate.

internal

The distributions of the weight of evidence (log Bayes factor) favouring case over noncase status in a test dataset (or test folds generated by cross-validation) can be used to quantify the performance of a diagnostic test (McKeigue (2019), <doi:10.1177/0962280218776989>). The package can be used with any test dataset on which you have observed case-control status and have computed prior and posterior probabilities of case status using a model learned on a training dataset. To quantify how the predictor will behave as a risk stratifier, the quantiles of the distributions of weight of evidence in cases and controls can be calculated and plotted.

Wdensities.crude: Calculate the crude smoothed densities of W in cases and in controls

Description

Usage

Arguments

Value