CRAN

TULIP 1.0

A Toolbox for Linear Discriminant Analysis with Penalties

Released Apr 9, 2019 by Yuqing Pan

Dependencies

tensr 1.0.1 glmnet 2.0-16 MASS 7.3-51.4 Matrix 1.2-17

Integrates several popular high-dimensional methods based on Linear Discriminant Analysis (LDA) and provides a comprehensive and user-friendly toolbox for linear, semi-parametric and tensor-variate classification as mentioned in Yuqing Pan, Qing Mai and Xin Zhang (2019) . Functions are included for covariate adjustment, model fitting, cross validation and prediction.

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>TULIP</artifactId>
    <version>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>

View build log

Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:TULIP')

Test Results

This package was last tested against Renjin 0.9.2725 on May 4, 2019.

• GDS1615-examples
• ROAD-examples
• SOS-examples
• SeSDA-examples
• adjten-examples
• adjvec-examples
• catch-examples
• catch_matrix-examples
• cv.msda-examples
• cvcatch-examples
• dsda-examples
• dsda.all-examples
• getnorm-examples
• msda-examples
• predict.catch-examples
• predict.msda-examples

Source

View GitHub Mirror

Release History

• 1.0