CRAN

nparMD 0.1.0

Nonparametric Analysis of Multivariate Data in Factorial Designs

Released Jun 14, 2018 by Maximilian Kiefel

This package can be loaded by Renjin but 1 out 4 tests failed.

Dependencies

Formula 1.2-3 matrixcalc 1.0-3 MASS 7.3-50 matrixStats 0.54.0 gtools 3.8.1

Analysis of multivariate data with two-way completely randomized factorial design. The analysis is based on fully nonparametric, rank-based methods and uses test statistics based on the Dempster's ANOVA, Wilk's Lambda, Lawley-Hotelling and Bartlett-Nanda-Pillai criteria. The multivariate response is allowed to be ordinal, quantitative, binary or a mixture of the different variable types. The package offers two functions performing the analysis, one for small and the other for large sample sizes. The underlying methodology is largely described in Bathke and Harrar (2016) and in Munzel and Brunner (2000) .

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>nparMD</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>

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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:nparMD')

Test Results

This package was last tested against Renjin 0.9.2687 on Aug 25, 2018.

Source

R

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Release History