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: 0.1-0
Depends: R (≥ 3.0.2), rjags (≥ 3-11), ProbYX (≥ 1.1)
Imports: coda (≥ 0.16-1), MBESS (≥ 3.3.3)
Published: 2015-12-21
Author: Dai Feng
Maintainer: Dai Feng <dai_feng at merck.com>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: auRoc results

Downloads:

Reference manual: auRoc.pdf
Package source: auRoc_0.1-0.tar.gz
Windows binaries: r-devel: auRoc_0.1-0.zip, r-release: auRoc_0.1-0.zip, r-oldrel: auRoc_0.1-0.zip
OS X El Capitan binaries: r-release: auRoc_0.1-0.tgz
OS X Mavericks binaries: r-oldrel: auRoc_0.1-0.tgz

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