CRAN

matrixpls 1.0.5

Matrix-Based Partial Least Squares Estimation

Released May 3, 2017 by Mikko Rönkkö

This package can be loaded by Renjin but 5 out 7 tests failed.

Dependencies

matrixcalc 1.0-3 lavaan 0.5-23.1097 psych 1.8.3.3 assertive 0.3-5 MASS 7.3-49

Partial Least Squares Path Modeling algorithm and related algorithms. The algorithm implementations aim for computational efficiency using matrix algebra and covariance data. The package is designed toward Monte Carlo simulations and includes functions to perform simple Monte Carlo simulations.

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>matrixpls</artifactId>
    <version>1.0.5-b13</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:matrixpls')

Test Results

This package was last tested against Renjin 0.9.2625 on Apr 9, 2018.

Source

R

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Release History