CRAN

genpathmox 0.3

Generalized Pathmox Approach Segmentation Tree Analysis

Released May 31, 2017 by Giuseppe Lamberti

This package can be loaded by Renjin but 13 out 14 tests failed.

Dependencies

mice 2.46.0 diagram 1.6.4 plspm 0.4.9 quantreg 5.35

Provides a very interesting solution for handling segmentation variables in complex statistical methodology. It contains en extended version of the "Pathmox" algorithm (Lamberti, Sanchez and Aluja,(2016)) in the context of Partial Least Squares Path Modeling including the F-block test (to detect the responsible latent endogenous equations of the difference), the F-coefficient (to detect the path coefficients responsible of the difference) and the "invariance" test (to realize a comparison between the sub-models' latent variables). Furthermore, the package contains a generalized version of the "Pathmox" algorithm to approach different methodologies: linear regression and least absolute regression models.

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>genpathmox</artifactId>
    <version>0.3-b12</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:genpathmox')

Test Results

This package was last tested against Renjin 0.9.2635 on Apr 26, 2018.

Source

R

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Release History