CRAN

accSDA 1.0.0

Accelerated Sparse Discriminant Analysis

Released Aug 24, 2017 by Gudmundur Einarsson

Dependencies

sparseLDA 0.1-9 rARPACK 0.11-0 MASS 7.3-47 ggthemes 3.4.0 gridExtra 2.3 ggplot2 2.2.1

Implementation of sparse linear discriminant analysis, which is a supervised classification method for multiple classes. Various novel optimization approaches to this problem are implemented including alternating direction method of multipliers (ADMM), proximal gradient (PG) and accelerated proximal gradient (APG) (See Atkins et al. ). Functions for performing cross validation are also supplied along with basic prediction and plotting functions. Sparse zero variance discriminant analysis (SZVD) is also included in the package (See Ames and Hong, ). See the github wiki for a more extended description.

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>accSDA</artifactId>
    <version>1.0.0-b7</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:accSDA')

Test Results

This package was last tested against Renjin 0.8.2504 on Oct 30, 2017.

• ASDA-examples
• ASDABarPlot-examples
• SZVD-examples
• SZVD_kFold_cv-examples
• SZVDcv-examples
• ZVD-examples
• normalize-examples
• normalizetest-examples
• predict.ASDA-examples
• print.ASDA-examples

Source

View GitHub Mirror

Release History

• 1.0.0