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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.
Getting started
Browse package contents
Package details |
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| Author | Dai Feng [aut, cre], Damjan Manevski [auc], Maja Pohar Perme [auc] |
| Maintainer | Dai Feng <daifeng.stat@gmail.com> |
| License | GPL |
| Version | 0.2-1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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