Various Methods to Estimate the AUC R package auRoc version 0.2-1 Estimate the AUC using a variety of methods as follows: (1) frequentist nonparametric methods based on the Mann-Whitney statistic or kernel methods. (2) frequentist parametric methods using the likelihood ratio test based on higher-order asymptotic results, the signed log-likelihood ratio test, the Wald test, or the approximate ''t'' solution to the Behrens-Fisher problem. (3) Bayesian parametric MCMC methods. Software Depends: R (>= 3.0.2), rjags (>= 3-11), ProbYX(>= 1.1) Imports: coda(>= 0.16-1), MBESS(>= 3.3.3) Dai Feng <daifeng.stat@gmail.com> Comprehensive R Archive Network (CRAN) Dai Feng [aut, cre], Damjan Manevski [auc], Maja Pohar Perme [auc] GPL 2020-04-04 application/tgz https://CRAN.R-project.org/package=auRoc doi:10.32614/CRAN.package.auRoc