auRoc: Various Methods to Estimate the AUC
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.
| Version: |
0.2-1 |
| Depends: |
R (≥ 3.0.2), rjags (≥ 3-11), ProbYX (≥ 1.1) |
| Imports: |
coda (≥ 0.16-1), MBESS (≥ 3.3.3) |
| Published: |
2020-04-04 |
| DOI: |
10.32614/CRAN.package.auRoc |
| Author: |
Dai Feng [aut, cre], Damjan Manevski [auc], Maja Pohar Perme [auc] |
| Maintainer: |
Dai Feng <daifeng.stat at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: |
no |
| CRAN checks: |
auRoc results |
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