CRAN

MatrixLDA 0.2

Penalized Matrix-Normal Linear Discriminant Analysis

Released Aug 6, 2018 by Aaron J. Molstad

This package can be loaded by Renjin but all tests failed.

Dependencies

RcppArmadillo 0.9.100.5.0 glasso 1.10 Rcpp plyr 1.8.4

Fits the penalized matrix-normal model to be used for linear discriminant analysis with matrix-valued predictors. For a description of the method, see Molstad and Rothman (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>MatrixLDA</artifactId>
    <version>0.2-b2</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:MatrixLDA')

Test Results

This package was last tested against Renjin 0.9.2689 on Aug 27, 2018.

Source

C++

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