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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "wevid" in publications use:'
type: software
license: GPL-3.0-only
title: 'wevid: Weight of Evidence for Quantifying Performance of a Binary Classifier'
version: 0.7.0
doi: 10.32614/CRAN.package.wevid
abstract: 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. This package can be
  used with any test dataset on which you have computed prior probabilities of case
  status, posterior probabilities of case status, and you have the observed case-control
  status. In comparison with the C-statistic (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.
authors:
- family-names: McKeigue
  given-names: Paul
  email: paul.mckeigue@ed.ac.uk
repository: https://pmckeigue.r-universe.dev
commit: f62e4edcaebf76414f5ec21acf4b15537c18b3c1
url: https://precmed.cphs.mvm.ed.ac.uk/pmckeigue/preprints/cstatistic.pdf
date-released: '2026-05-10'
contact:
- family-names: McKeigue
  given-names: Paul
  email: paul.mckeigue@ed.ac.uk