Package: auRoc Title: Various Methods to Estimate the AUC Version: 0.2-1 Author: Dai Feng [aut, cre], Damjan Manevski [auc], Maja Pohar Perme [auc] Description: 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. Maintainer: Dai Feng Depends: R (>= 3.0.2), rjags (>= 3-11), ProbYX(>= 1.1) Imports: coda(>= 0.16-1), MBESS(>= 3.3.3) License: GPL NeedsCompilation: no LazyData: true Packaged: 2020-04-03 19:57:40 UTC; jingru Repository: CRAN Date/Publication: 2020-04-04 00:30:08 UTC