CRAN

auRoc 0.1-0

Various Methods to Estimate the AUC

Released Dec 21, 2015 by Dai Feng

This package can be loaded by Renjin but 3 out 4 tests failed.

Dependencies

ProbYX 1.1-0 MBESS 3.3.3 rjags 4-4 coda 0.18-1

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.

Installation

Maven

This package can be included as a dependency from a Java or Scala project by including the following your project's pom.xml file. Read more about embedding Renjin in JVM-based projects.

<dependencies>
  <dependency>
    <groupId>org.renjin.cran</groupId>
    <artifactId>auRoc</artifactId>
    <version>0.1-0-b17</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

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Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:auRoc')

Test Results

This package was last tested against Renjin 0.8.2346 on Mar 18, 2017.

Source

R

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Release History