CRAN

abodOutlier 0.1

Angle-Based Outlier Detection

Released Aug 31, 2015 by Jose Jimenez

This package is available for Renjin and there are no known compatibility issues.

Dependencies

cluster 2.0.3

Performs angle-based outlier detection on a given dataframe. Three methods are available, a full but slow implementation using all the data that has cubic complexity, a fully randomized one which is way more efficient and another using k-nearest neighbours. These algorithms are specially well suited for high dimensional data outlier detection.

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>abodOutlier</artifactId>
    <version>0.1-b26</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

View build log

Renjin CLI

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

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

Test Results

This package was last tested against Renjin 0.8.2359 on May 26, 2017.

Source

R

View GitHub Mirror

Release History