CRAN
GiniDistance 0.1.0
A New Gini Correlation Between Quantitative and Qualitative Variables
Released Jun 28, 2019 by Dao Nguyen
Dependencies
RcppArmadillo 0.9.500.2.0 readxl 1.3.1 randomForest 4.6-14 Rcpp energy 1.7-5
An implementation of a new Gini covariance and correlation to measure dependence between a categorical and numerical variables. Dang, X., Nguyen, D., Chen, Y. and Zhang, J., (2018)
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>GiniDistance</artifactId>
<version>0.1.0-b1</version>
</dependency>
</dependencies>
<repositories>
<repository>
<id>bedatadriven</id>
<name>bedatadriven public repo</name>
<url>https://nexus.bedatadriven.com/content/groups/public/</url>
</repository>
</repositories>
Renjin CLI
If you're using Renjin from the command line, you load this library by invoking:
library('org.renjin.cran:GiniDistance')
Test Results
This package was last tested against Renjin 0.9.2726 on Jul 13, 2019.
- ConfidenceInterval-examples
- CriticalValue-examples
- KdCor-examples
- KdCov-examples
- KgCor-examples
- KgCov-examples
- Kgmd-examples
- PermutationTest-examples
- RcppGmd-examples
- RcppKGmd-examples
- RcppKgCor-examples
- RcppKgCov-examples
- RcppgCor-examples
- RcppgCov-examples
- dCor-examples
- dCov-examples
- gCor-examples
- gCov-examples
- gmd-examples