The distributions of the weight of evidence (log Bayes factor) favouring case over noncase status in a test dataset (or test folds generated by crossvalidation) can be used to quantify the performance of a diagnostic test. This package can be used with any test dataset on which you have compured prior probabilities of case status, posterior probabilities of case status, and you have the observed casecontrol status. In comparison with the Cstatistic (area under ROC curve), the expected weight of evidence (expected information for discrimination) has several advantages as a summary measure of predictive performance. 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.
Package details 


Author  Paul McKeigue 
Maintainer  Marco Colombo <m.colombo@ed.ac.uk> 
License  GPL3 
Version  0.3.0.9000 
URL  http://www.homepages.ed.ac.uk/pmckeigu/preprints/classify/demoplotw.html 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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